Instructions to use MontrealCorpusTools/spanish_mfa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Montreal Forced Aligner
How to use MontrealCorpusTools/spanish_mfa with Montreal Forced Aligner:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- README.md +32 -42
- acoustic/final.alimdl +2 -2
- acoustic/final.mdl +2 -2
- acoustic/lda.mat +0 -0
- acoustic/meta.json +1 -1
- acoustic/tree +2 -2
- dictionary/rules.yaml +98 -90
- dictionary/spanish_latin_america_mfa.dict +0 -0
- dictionary/spanish_spain_mfa.dict +2 -2
- g2p/spanish_latin_america_mfa/meta.json +1 -1
- g2p/spanish_spain_mfa/meta.json +1 -1
README.md
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@@ -12,7 +12,7 @@ license: cc-by-4.0
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<!-- Provide a quick summary of what the model is/does. -->
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This MFA model is for aligning
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- [Model details](#model-details)
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- [Uses](#uses)
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- **Source:** https://voice.mozilla.org/en/datasets
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- **License:** [CC-0](https://creativecommons.org/publicdomain/zero/1.0/)
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- **Dialects:** spain, latin america
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- **Number of hours:**
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- **Number of utterances:**
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- **Number of speakers:**
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- **Female speakers:** 1,
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- **Male speakers:** 3,
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- **Unknown speakers:**
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-
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#### GlobalPhone Spanish (Latin American)
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- **Source:** https://catalogue.elra.info/en-us/repository/browse/ELRA-S0203/
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- **License:** [ELRA](https://www.elra.info/en/services-around-lrs/distribution/licensing/)
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- **Dialects:** Latin America
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- **Number of hours:** 22.
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- **Number of utterances:**
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- **Number of speakers:** 100
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- **Female speakers:** 56
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- **Male speakers:** 44
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- **Unknown speakers:** 0
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-
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#### Google i18n Chile
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- **Source:** https://openslr.org/71/
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- **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
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- **Dialects:** latin america
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- **Number of hours:** 7.
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- **Number of utterances:** 4,374
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- **Number of speakers:** 31
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- **Female speakers:**
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- **Male speakers:**
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- **Unknown speakers:**
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#### Google i18n Columbia
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- **Number of hours:** 7.58
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- **Number of utterances:** 4,903
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- **Number of speakers:** 33
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- **Female speakers:**
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- **Male speakers:**
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- **Unknown speakers:**
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#### Google i18n Peru
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- **Number of hours:** 9.22
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- **Number of utterances:** 5,447
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- **Number of speakers:** 38
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- **Female speakers:**
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- **Male speakers:**
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- **Unknown speakers:** 0
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-
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#### Google i18n Puerto Rico
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- **Source:** https://openslr.org/71/
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- **Number of hours:** 1.00
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- **Number of utterances:** 617
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- **Number of speakers:** 5
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- **Female speakers:**
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- **Male speakers:** 0
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- **Unknown speakers:**
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-
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#### Google i18n Venezuela
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- **Number of hours:** 4.81
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- **Number of utterances:** 3,357
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- **Number of speakers:** 23
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- **Female speakers:**
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- **Male speakers:**
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- **Unknown speakers:**
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-
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#### Multilingual LibriSpeech Spanish
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- **Source:** https://openslr.org/94/
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- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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- **Dialects:** spain
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- **Number of hours:**
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- **Number of utterances:**
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- **Number of speakers:**
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- **Female speakers:** 70
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- **Male speakers:** 56
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- **Unknown speakers:** 0
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-
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#### Multilingual TEDx Spanish
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- **Source:** https://www.openslr.org/100/
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- **License:** [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/)
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- **Dialects:** spain, latin america
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- **Number of hours:**
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- **Number of utterances:**
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- **Number of speakers:** 1,
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- **Female speakers:** 0
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- **Male speakers:** 0
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- **Unknown speakers:** 1,068
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-
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#### M-AILABS Spanish
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- **Source:** https://openslr.org/94/
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- **License:** [M-AILABS License](https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/)
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- **Dialects:** spain, latin america
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- **Number of hours:**
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- **Number of utterances:**
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- **Number of speakers:**
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- **Female speakers:** 11
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- **Male speakers:** 10
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- **Unknown speakers:** 0
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-
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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<!-- Provide a quick summary of what the model is/does. -->
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This MFA model is for aligning Russian speech.
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- [Model details](#model-details)
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- [Uses](#uses)
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- **Source:** https://voice.mozilla.org/en/datasets
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- **License:** [CC-0](https://creativecommons.org/publicdomain/zero/1.0/)
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- **Dialects:** spain, latin america
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- **Number of hours:** 507.00
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- **Number of utterances:** 350,422
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- **Number of speakers:** 16,413
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- **Female speakers:** 1,308
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- **Male speakers:** 3,396
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- **Unknown speakers:** 11,738
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#### GlobalPhone Spanish (Latin American)
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- **Source:** https://catalogue.elra.info/en-us/repository/browse/ELRA-S0203/
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- **License:** [ELRA](https://www.elra.info/en/services-around-lrs/distribution/licensing/)
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- **Dialects:** Latin America
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- **Number of hours:** 22.09
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- **Number of utterances:** 7,049
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- **Number of speakers:** 100
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- **Female speakers:** 56
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- **Male speakers:** 44
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- **Unknown speakers:** 0
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#### Google i18n Chile
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- **Source:** https://openslr.org/71/
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- **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
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- **Dialects:** latin america
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- **Number of hours:** 7.14
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- **Number of utterances:** 4,374
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- **Number of speakers:** 31
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- **Female speakers:** 0
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- **Male speakers:** 0
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- **Unknown speakers:** 31
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#### Google i18n Columbia
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- **Number of hours:** 7.58
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- **Number of utterances:** 4,903
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- **Number of speakers:** 33
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- **Female speakers:** 0
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- **Male speakers:** 0
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- **Unknown speakers:** 33
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#### Google i18n Peru
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- **Number of hours:** 9.22
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- **Number of utterances:** 5,447
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- **Number of speakers:** 38
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- **Female speakers:** 0
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- **Male speakers:** 0
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- **Unknown speakers:** 0
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#### Google i18n Puerto Rico
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- **Source:** https://openslr.org/71/
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- **Number of hours:** 1.00
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- **Number of utterances:** 617
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- **Number of speakers:** 5
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- **Female speakers:** 0
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- **Male speakers:** 0
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- **Unknown speakers:** 5
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#### Google i18n Venezuela
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- **Number of hours:** 4.81
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- **Number of utterances:** 3,357
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- **Number of speakers:** 23
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+
- **Female speakers:** 0
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- **Male speakers:** 0
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+
- **Unknown speakers:** 23
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#### Multilingual LibriSpeech Spanish
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- **Source:** https://openslr.org/94/
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- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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- **Dialects:** spain
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- **Number of hours:** 791.41
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- **Number of utterances:** 1,061,144
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- **Number of speakers:** 300
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- **Female speakers:** 70
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- **Male speakers:** 56
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- **Unknown speakers:** 0
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#### Multilingual TEDx Spanish
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- **Source:** https://www.openslr.org/100/
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- **License:** [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/)
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- **Dialects:** spain, latin america
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- **Number of hours:** 155.81
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- **Number of utterances:** 231,851
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- **Number of speakers:** 1,081
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- **Female speakers:** 0
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- **Male speakers:** 0
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- **Unknown speakers:** 1,068
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#### M-AILABS Spanish
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- **Source:** https://openslr.org/94/
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- **License:** [M-AILABS License](https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/)
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- **Dialects:** spain, latin america
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- **Number of hours:** 87.21
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- **Number of utterances:** 48,176
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- **Number of speakers:** 20
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- **Female speakers:** 11
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- **Male speakers:** 10
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- **Unknown speakers:** 0
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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acoustic/lda.mat
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acoustic/meta.json
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{"phones": ["a", "ã", "b", "c", "d̪", "e", "ẽ", "f", "h", "i", "ĩ", "j", "k", "l", "m", "n", "o", "õ", "p", "r", "s", "tʃ", "t̪", "u", "ũ", "v", "w", "x", "z", "ç", "ð", "ŋ", "ɟ", "ɟʝ", "ɡ", "ɣ", "ɱ", "ɲ", "ɾ", "ʃ", "ʎ", "ʝ", "β", "θ"], "phone_mapping": {"<eps>": 0, "sil": 1, "spn": 2, "a": 3, "ã": 4, "b": 5, "c": 6, "d̪": 7, "e": 8, "ẽ": 9, "f": 10, "h": 11, "i": 12, "ĩ": 13, "j": 14, "k": 15, "l": 16, "m": 17, "n": 18, "o": 19, "õ": 20, "p": 21, "r": 22, "s": 23, "tʃ": 24, "t̪": 25, "u": 26, "ũ": 27, "v": 28, "w": 29, "x": 30, "z": 31, "ç": 32, "ð": 33, "ŋ": 34, "ɟ": 35, "ɟʝ": 36, "ɡ": 37, "ɣ": 38, "ɱ": 39, "ɲ": 40, "ɾ": 41, "ʃ": 42, "ʎ": 43, "ʝ": 44, "β": 45, "θ": 46}, "phone_groups": {
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{"phones": ["a", "ã", "b", "c", "d̪", "e", "ẽ", "f", "h", "i", "ĩ", "j", "k", "l", "m", "n", "o", "õ", "p", "r", "s", "tʃ", "t̪", "u", "ũ", "v", "w", "x", "z", "ç", "ð", "ŋ", "ɟ", "ɟʝ", "ɡ", "ɣ", "ɱ", "ɲ", "ɾ", "ʃ", "ʎ", "ʝ", "β", "θ"], "phone_mapping": {"<eps>": 0, "sil": 1, "spn": 2, "a": 3, "ã": 4, "b": 5, "c": 6, "d̪": 7, "e": 8, "ẽ": 9, "f": 10, "h": 11, "i": 12, "ĩ": 13, "j": 14, "k": 15, "l": 16, "m": 17, "n": 18, "o": 19, "õ": 20, "p": 21, "r": 22, "s": 23, "tʃ": 24, "t̪": 25, "u": 26, "ũ": 27, "v": 28, "w": 29, "x": 30, "z": 31, "ç": 32, "ð": 33, "ŋ": 34, "ɟ": 35, "ɟʝ": 36, "ɡ": 37, "ɣ": 38, "ɱ": 39, "ɲ": 40, "ɾ": 41, "ʃ": 42, "ʎ": 43, "ʝ": 44, "β": 45, "θ": 46}, "phone_groups": {}, "version": "3.4.3", "architecture": "gmm-hmm", "train_date": "2026-10-11 19:14:43.519833", "training": {"audio_duration": 5729187.885305747, "num_speakers": 18044, "num_utterances": 1715460, "num_oovs": 0, "average_log_likelihood": -53.34040768053771}, "dictionaries": {"names": ["spanish_latin_america_mfa", "spanish_spain_mfa"], "default": "spanish_latin_america_mfa", "silence_word": "<eps>", "oov_word": "<unk>", "bracketed_word": "[bracketed]", "laughter_word": "[laughter]", "clitic_marker": null, "position_dependent_phones": false}, "language": "unknown", "tokenization": "simple", "features": {"type": "mfcc", "use_energy": false, "frame_shift": 10, "frame_length": 25, "snip_edges": false, "low_frequency": 20, "high_frequency": 7800, "sample_frequency": 16000, "dither": 0.0, "energy_floor": 0.0, "num_coefficients": 13, "num_mel_bins": 23, "cepstral_lifter": 22, "preemphasis_coefficient": 0.97, "uses_cmvn": true, "uses_deltas": true, "uses_voiced": false, "uses_splices": false, "uses_speaker_adaptation": false, "use_pitch": false, "use_voicing": false, "min_f0": 50, "max_f0": 800, "delta_pitch": 0.005, "penalty_factor": 0.1, "silence_weight": 0.0, "splice_left_context": 3, "splice_right_context": 3}, "oov_phone": "spn", "optional_silence_phone": "sil", "phone_set_type": "UNKNOWN", "silence_probability": 0.2866666666666666, "initial_silence_probability": 0.5, "final_silence_correction": null, "final_non_silence_correction": null, "duration_information": {"a": [-2.6417864734659418, 0.4765473699887165], "ã": [-2.6864494980700586, 0.37266985586466644], "b": [-2.845048471191826, 0.3766992200088064], "c": [-2.7562112097546865, 0.3176817313418639], "d̪": [-2.9837243712630963, 0.37201447181510294], "e": [-2.8092795438600646, 0.4780201514528625], "ẽ": [-2.6050489669641097, 0.4967613426186338], "f": [-2.430869204741879, 0.3896606213671831], "h": [-2.369919146674856, 0.44540503695454164], "i": [-4.107820787218895, 0.825816589123414], "ĩ": [-2.6186876914598582, 0.4763636671300368], "j": [-2.8670538671113093, 0.42705874767458685], "k": [-2.65161028342027, 0.34270434520552046], "l": [-2.790741883249864, 0.4117030950218088], "m": [-2.640940547884888, 0.35557666804072624], "n": [-3.152277345013469, 0.8494897568039963], "o": [-2.6630771721455284, 0.5123590070146551], "õ": [-2.7364443881028424, 0.4086270501511866], "p": [-2.8202590846723132, 0.38024585059880633], "r": [-2.656528020209877, 0.4349416854880715], "s": [-2.4666358855915655, 0.4694086609299233], "tʃ": [-2.221708010447016, 0.2758270160329022], "t̪": [-2.710278306424458, 0.34291288070641407], "u": [-2.7463954008375184, 0.4275997918613659], "ũ": [-2.6878182477831345, 0.4597277806271973], "v": [-2.3935349817711518, 0.5619587393924218], "w": [-2.924133354736119, 0.4090783813665612], "x": [-2.276646408774064, 0.3469380552619876], "z": [-2.4730605106340744, 0.409826417448127], "ç": [-2.329784791632472, 0.3680534336687106], "ð": [-2.85821844191737, 0.5225704246160691], "ŋ": [-4.604077611306815, 0.052226171463055], "ɟ": [-2.748666726698342, 0.5564347153201166], "ɟʝ": [-2.685140906098043, 0.37524840803321247], "ɡ": [-2.8954763629134197, 0.3445438754585867], "ɣ": [-2.721461278128654, 0.3821539411765106], "ɱ": [-2.8957785248529313, 0.2867526612169351], "ɲ": [-2.475645090783068, 0.42868207830844546], "ɾ": [-2.8498926917132597, 0.3968407960772254], "ʃ": [-2.2433216097765714, 0.4783075742093697], "ʎ": [-2.503459866107921, 0.3953817646414917], "ʝ": [-2.3792980480342507, 0.3633714914291954], "β": [-2.758360298143314, 0.3823720829037817], "θ": [-2.3489056479892003, 0.3023214497445763]}}
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acoustic/tree
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-
oid sha256:
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| 3 |
-
size
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:923ca33810b65ec60e45d34cf14df90dd220e6dc4a4db6675d66d7db10239ec7
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| 3 |
+
size 302617
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dictionary/rules.yaml
CHANGED
|
@@ -1,244 +1,252 @@
|
|
| 1 |
dialects:
|
| 2 |
latin_america:
|
| 3 |
- following_context: $
|
| 4 |
-
non_silence_before_correction:
|
| 5 |
preceding_context: ''
|
| 6 |
probability: 0.01
|
| 7 |
replacement: ''
|
| 8 |
segment: s
|
| 9 |
-
silence_after_probability: 0.
|
| 10 |
-
silence_before_correction:
|
| 11 |
- following_context: $
|
| 12 |
-
non_silence_before_correction:
|
| 13 |
preceding_context: ''
|
| 14 |
probability: 0.01
|
| 15 |
replacement: h
|
| 16 |
segment: s
|
| 17 |
-
silence_after_probability: 0.
|
| 18 |
-
silence_before_correction:
|
| 19 |
- following_context: '[^aiouejw]'
|
| 20 |
-
non_silence_before_correction:
|
| 21 |
preceding_context: ''
|
| 22 |
probability: 0.01
|
| 23 |
replacement: h
|
| 24 |
segment: s
|
| 25 |
-
silence_after_probability: 0.
|
| 26 |
-
silence_before_correction:
|
| 27 |
- following_context: '[^aiouejw]'
|
| 28 |
-
non_silence_before_correction:
|
| 29 |
preceding_context: ''
|
| 30 |
probability: 0.01
|
| 31 |
replacement: ''
|
| 32 |
segment: s
|
| 33 |
-
silence_after_probability: 0.
|
| 34 |
-
silence_before_correction:
|
| 35 |
- following_context: '[^aiouejw]'
|
| 36 |
-
non_silence_before_correction:
|
| 37 |
preceding_context: ^
|
| 38 |
probability: 0.01
|
| 39 |
replacement: e s
|
| 40 |
segment: s
|
| 41 |
-
silence_after_probability: 0.
|
| 42 |
-
silence_before_correction:
|
| 43 |
- following_context: '[^aiouejw]'
|
| 44 |
-
non_silence_before_correction:
|
| 45 |
preceding_context: ^
|
| 46 |
probability: 0.01
|
| 47 |
replacement: e z
|
| 48 |
segment: z
|
| 49 |
-
silence_after_probability: 0.
|
| 50 |
-
silence_before_correction:
|
| 51 |
- following_context: ''
|
| 52 |
-
non_silence_before_correction:
|
| 53 |
preceding_context: ^
|
| 54 |
probability: 0.01
|
| 55 |
replacement: ''
|
| 56 |
segment: x
|
| 57 |
-
silence_after_probability: 0.
|
| 58 |
-
silence_before_correction:
|
| 59 |
- following_context: $
|
| 60 |
-
non_silence_before_correction:
|
| 61 |
preceding_context: ''
|
| 62 |
probability: 0.01
|
| 63 |
replacement: ''
|
| 64 |
segment: ɾ
|
| 65 |
-
silence_after_probability: 0.
|
| 66 |
-
silence_before_correction:
|
| 67 |
- following_context: $
|
| 68 |
-
non_silence_before_correction:
|
| 69 |
preceding_context: ''
|
| 70 |
probability: 0.01
|
| 71 |
replacement: r
|
| 72 |
segment: ɾ
|
| 73 |
-
silence_after_probability: 0.
|
| 74 |
-
silence_before_correction:
|
| 75 |
- following_context: $
|
| 76 |
-
non_silence_before_correction:
|
| 77 |
preceding_context: ''
|
| 78 |
probability: 0.01
|
| 79 |
replacement: ''
|
| 80 |
segment: '[ŋnmɲ]'
|
| 81 |
-
silence_after_probability: 0.
|
| 82 |
-
silence_before_correction:
|
| 83 |
- following_context: $
|
| 84 |
-
non_silence_before_correction:
|
| 85 |
preceding_context: ''
|
| 86 |
probability: 0.01
|
| 87 |
replacement: ''
|
| 88 |
segment: ð
|
| 89 |
-
silence_after_probability: 0.
|
| 90 |
-
silence_before_correction:
|
| 91 |
- following_context: '[^aiouejw]'
|
| 92 |
-
non_silence_before_correction:
|
| 93 |
preceding_context: '[aiouejw]'
|
| 94 |
probability: 0.01
|
| 95 |
replacement: r
|
| 96 |
segment: ɾ
|
| 97 |
-
silence_after_probability: 0.
|
| 98 |
-
silence_before_correction:
|
| 99 |
- following_context: '[aiouejw]'
|
| 100 |
-
non_silence_before_correction:
|
| 101 |
preceding_context: '[^aiouejw]'
|
| 102 |
probability: 0.01
|
| 103 |
replacement: r
|
| 104 |
segment: ɾ
|
| 105 |
-
silence_after_probability: 0.
|
| 106 |
-
silence_before_correction:
|
| 107 |
- following_context: '[^ij]'
|
| 108 |
-
non_silence_before_correction:
|
| 109 |
preceding_context: ''
|
| 110 |
probability: 0.01
|
| 111 |
replacement: ɲ j
|
| 112 |
segment: ɲ
|
| 113 |
-
silence_after_probability: 0.
|
| 114 |
-
silence_before_correction:
|
| 115 |
- following_context: ''
|
| 116 |
-
non_silence_before_correction:
|
| 117 |
preceding_context: ''
|
| 118 |
probability: 0.01
|
| 119 |
replacement: ʃ
|
| 120 |
segment: ʝ
|
| 121 |
-
silence_after_probability: 0.
|
| 122 |
-
silence_before_correction:
|
| 123 |
- following_context: ''
|
| 124 |
-
non_silence_before_correction:
|
| 125 |
preceding_context: ''
|
| 126 |
probability: 0.01
|
| 127 |
replacement: ʃ
|
| 128 |
segment: ɟʝ
|
| 129 |
-
silence_after_probability: 0.
|
| 130 |
-
silence_before_correction:
|
| 131 |
spain:
|
| 132 |
- following_context: $
|
| 133 |
-
non_silence_before_correction:
|
| 134 |
preceding_context: ''
|
| 135 |
probability: 0.01
|
| 136 |
replacement: ''
|
| 137 |
segment: s
|
| 138 |
-
silence_after_probability: 0.
|
| 139 |
-
silence_before_correction:
|
| 140 |
- following_context: $
|
| 141 |
-
non_silence_before_correction:
|
| 142 |
preceding_context: ''
|
| 143 |
probability: 0.01
|
| 144 |
replacement: h
|
| 145 |
segment: s
|
| 146 |
-
silence_after_probability: 0.
|
| 147 |
-
silence_before_correction:
|
| 148 |
- following_context: '[^aiouejw]'
|
| 149 |
-
non_silence_before_correction:
|
| 150 |
preceding_context: ''
|
| 151 |
probability: 0.01
|
| 152 |
replacement: h
|
| 153 |
segment: s
|
| 154 |
-
silence_after_probability: 0.
|
| 155 |
-
silence_before_correction:
|
| 156 |
- following_context: '[^aiouejw]'
|
| 157 |
-
non_silence_before_correction:
|
| 158 |
preceding_context: ''
|
| 159 |
probability: 0.01
|
| 160 |
replacement: ''
|
| 161 |
segment: s
|
| 162 |
-
silence_after_probability: 0.
|
| 163 |
-
silence_before_correction:
|
| 164 |
- following_context: '[^aiouejw]'
|
| 165 |
-
non_silence_before_correction:
|
| 166 |
preceding_context: ^
|
| 167 |
probability: 0.01
|
| 168 |
replacement: e s
|
| 169 |
segment: s
|
| 170 |
-
silence_after_probability: 0.
|
| 171 |
-
silence_before_correction:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 172 |
- following_context: ''
|
| 173 |
-
non_silence_before_correction:
|
| 174 |
preceding_context: ^
|
| 175 |
probability: 0.01
|
| 176 |
replacement: ''
|
| 177 |
segment: x
|
| 178 |
-
silence_after_probability: 0.
|
| 179 |
-
silence_before_correction:
|
| 180 |
- following_context: $
|
| 181 |
-
non_silence_before_correction:
|
| 182 |
preceding_context: ''
|
| 183 |
probability: 0.01
|
| 184 |
replacement: ''
|
| 185 |
segment: ɾ
|
| 186 |
-
silence_after_probability: 0.
|
| 187 |
-
silence_before_correction:
|
| 188 |
- following_context: $
|
| 189 |
-
non_silence_before_correction:
|
| 190 |
preceding_context: ''
|
| 191 |
probability: 0.01
|
| 192 |
replacement: r
|
| 193 |
segment: ɾ
|
| 194 |
-
silence_after_probability: 0.
|
| 195 |
-
silence_before_correction:
|
| 196 |
- following_context: $
|
| 197 |
-
non_silence_before_correction:
|
| 198 |
preceding_context: ''
|
| 199 |
probability: 0.01
|
| 200 |
replacement: ''
|
| 201 |
segment: '[ŋnmɲ]'
|
| 202 |
-
silence_after_probability: 0.
|
| 203 |
-
silence_before_correction:
|
| 204 |
- following_context: $
|
| 205 |
-
non_silence_before_correction:
|
| 206 |
preceding_context: ''
|
| 207 |
probability: 0.01
|
| 208 |
replacement: ''
|
| 209 |
segment: ð
|
| 210 |
-
silence_after_probability: 0.
|
| 211 |
-
silence_before_correction:
|
| 212 |
- following_context: '[^aiouejw]'
|
| 213 |
-
non_silence_before_correction:
|
| 214 |
preceding_context: '[aiouejw]'
|
| 215 |
probability: 0.01
|
| 216 |
replacement: r
|
| 217 |
segment: ɾ
|
| 218 |
-
silence_after_probability: 0.
|
| 219 |
-
silence_before_correction:
|
| 220 |
- following_context: '[aiouejw]'
|
| 221 |
-
non_silence_before_correction:
|
| 222 |
preceding_context: '[^aiouejw]'
|
| 223 |
probability: 0.01
|
| 224 |
replacement: r
|
| 225 |
segment: ɾ
|
| 226 |
-
silence_after_probability: 0.
|
| 227 |
-
silence_before_correction:
|
| 228 |
- following_context: ''
|
| 229 |
-
non_silence_before_correction:
|
| 230 |
preceding_context: ''
|
| 231 |
probability: 0.01
|
| 232 |
replacement: s
|
| 233 |
segment: θ
|
| 234 |
-
silence_after_probability: 0.
|
| 235 |
-
silence_before_correction:
|
| 236 |
- following_context: $
|
| 237 |
-
non_silence_before_correction:
|
| 238 |
preceding_context: ''
|
| 239 |
probability: 0.01
|
| 240 |
replacement: ''
|
| 241 |
segment: θ
|
| 242 |
-
silence_after_probability: 0.
|
| 243 |
-
silence_before_correction:
|
| 244 |
rules: []
|
|
|
|
| 1 |
dialects:
|
| 2 |
latin_america:
|
| 3 |
- following_context: $
|
| 4 |
+
non_silence_before_correction: 0.84
|
| 5 |
preceding_context: ''
|
| 6 |
probability: 0.01
|
| 7 |
replacement: ''
|
| 8 |
segment: s
|
| 9 |
+
silence_after_probability: 0.09
|
| 10 |
+
silence_before_correction: -7.6
|
| 11 |
- following_context: $
|
| 12 |
+
non_silence_before_correction: 0.84
|
| 13 |
preceding_context: ''
|
| 14 |
probability: 0.01
|
| 15 |
replacement: h
|
| 16 |
segment: s
|
| 17 |
+
silence_after_probability: 0.59
|
| 18 |
+
silence_before_correction: -7.62
|
| 19 |
- following_context: '[^aiouejw]'
|
| 20 |
+
non_silence_before_correction: 0.86
|
| 21 |
preceding_context: ''
|
| 22 |
probability: 0.01
|
| 23 |
replacement: h
|
| 24 |
segment: s
|
| 25 |
+
silence_after_probability: 0.36
|
| 26 |
+
silence_before_correction: -7.91
|
| 27 |
- following_context: '[^aiouejw]'
|
| 28 |
+
non_silence_before_correction: 0.87
|
| 29 |
preceding_context: ''
|
| 30 |
probability: 0.01
|
| 31 |
replacement: ''
|
| 32 |
segment: s
|
| 33 |
+
silence_after_probability: 0.32
|
| 34 |
+
silence_before_correction: -7.92
|
| 35 |
- following_context: '[^aiouejw]'
|
| 36 |
+
non_silence_before_correction: 0.74
|
| 37 |
preceding_context: ^
|
| 38 |
probability: 0.01
|
| 39 |
replacement: e s
|
| 40 |
segment: s
|
| 41 |
+
silence_after_probability: 0.81
|
| 42 |
+
silence_before_correction: -8.0
|
| 43 |
- following_context: '[^aiouejw]'
|
| 44 |
+
non_silence_before_correction: 0.91
|
| 45 |
preceding_context: ^
|
| 46 |
probability: 0.01
|
| 47 |
replacement: e z
|
| 48 |
segment: z
|
| 49 |
+
silence_after_probability: 0.86
|
| 50 |
+
silence_before_correction: -8.13
|
| 51 |
- following_context: ''
|
| 52 |
+
non_silence_before_correction: 0.8
|
| 53 |
preceding_context: ^
|
| 54 |
probability: 0.01
|
| 55 |
replacement: ''
|
| 56 |
segment: x
|
| 57 |
+
silence_after_probability: 0.38
|
| 58 |
+
silence_before_correction: -7.81
|
| 59 |
- following_context: $
|
| 60 |
+
non_silence_before_correction: 0.88
|
| 61 |
preceding_context: ''
|
| 62 |
probability: 0.01
|
| 63 |
replacement: ''
|
| 64 |
segment: ɾ
|
| 65 |
+
silence_after_probability: 0.26
|
| 66 |
+
silence_before_correction: -8.02
|
| 67 |
- following_context: $
|
| 68 |
+
non_silence_before_correction: 0.9
|
| 69 |
preceding_context: ''
|
| 70 |
probability: 0.01
|
| 71 |
replacement: r
|
| 72 |
segment: ɾ
|
| 73 |
+
silence_after_probability: 0.3
|
| 74 |
+
silence_before_correction: -8.05
|
| 75 |
- following_context: $
|
| 76 |
+
non_silence_before_correction: 0.85
|
| 77 |
preceding_context: ''
|
| 78 |
probability: 0.01
|
| 79 |
replacement: ''
|
| 80 |
segment: '[ŋnmɲ]'
|
| 81 |
+
silence_after_probability: 0.28
|
| 82 |
+
silence_before_correction: -7.91
|
| 83 |
- following_context: $
|
| 84 |
+
non_silence_before_correction: 0.87
|
| 85 |
preceding_context: ''
|
| 86 |
probability: 0.01
|
| 87 |
replacement: ''
|
| 88 |
segment: ð
|
| 89 |
+
silence_after_probability: 0.24
|
| 90 |
+
silence_before_correction: -8.05
|
| 91 |
- following_context: '[^aiouejw]'
|
| 92 |
+
non_silence_before_correction: 0.86
|
| 93 |
preceding_context: '[aiouejw]'
|
| 94 |
probability: 0.01
|
| 95 |
replacement: r
|
| 96 |
segment: ɾ
|
| 97 |
+
silence_after_probability: 0.35
|
| 98 |
+
silence_before_correction: -7.8
|
| 99 |
- following_context: '[aiouejw]'
|
| 100 |
+
non_silence_before_correction: 0.86
|
| 101 |
preceding_context: '[^aiouejw]'
|
| 102 |
probability: 0.01
|
| 103 |
replacement: r
|
| 104 |
segment: ɾ
|
| 105 |
+
silence_after_probability: 0.25
|
| 106 |
+
silence_before_correction: -7.87
|
| 107 |
- following_context: '[^ij]'
|
| 108 |
+
non_silence_before_correction: 0.86
|
| 109 |
preceding_context: ''
|
| 110 |
probability: 0.01
|
| 111 |
replacement: ɲ j
|
| 112 |
segment: ɲ
|
| 113 |
+
silence_after_probability: 0.43
|
| 114 |
+
silence_before_correction: -7.79
|
| 115 |
- following_context: ''
|
| 116 |
+
non_silence_before_correction: 0.84
|
| 117 |
preceding_context: ''
|
| 118 |
probability: 0.01
|
| 119 |
replacement: ʃ
|
| 120 |
segment: ʝ
|
| 121 |
+
silence_after_probability: 0.4
|
| 122 |
+
silence_before_correction: -7.76
|
| 123 |
- following_context: ''
|
| 124 |
+
non_silence_before_correction: 0.82
|
| 125 |
preceding_context: ''
|
| 126 |
probability: 0.01
|
| 127 |
replacement: ʃ
|
| 128 |
segment: ɟʝ
|
| 129 |
+
silence_after_probability: 0.33
|
| 130 |
+
silence_before_correction: -7.8
|
| 131 |
spain:
|
| 132 |
- following_context: $
|
| 133 |
+
non_silence_before_correction: 0.82
|
| 134 |
preceding_context: ''
|
| 135 |
probability: 0.01
|
| 136 |
replacement: ''
|
| 137 |
segment: s
|
| 138 |
+
silence_after_probability: 0.1
|
| 139 |
+
silence_before_correction: -7.57
|
| 140 |
- following_context: $
|
| 141 |
+
non_silence_before_correction: 0.85
|
| 142 |
preceding_context: ''
|
| 143 |
probability: 0.01
|
| 144 |
replacement: h
|
| 145 |
segment: s
|
| 146 |
+
silence_after_probability: 0.2
|
| 147 |
+
silence_before_correction: -7.64
|
| 148 |
- following_context: '[^aiouejw]'
|
| 149 |
+
non_silence_before_correction: 0.87
|
| 150 |
preceding_context: ''
|
| 151 |
probability: 0.01
|
| 152 |
replacement: h
|
| 153 |
segment: s
|
| 154 |
+
silence_after_probability: 0.2
|
| 155 |
+
silence_before_correction: -7.91
|
| 156 |
- following_context: '[^aiouejw]'
|
| 157 |
+
non_silence_before_correction: 0.85
|
| 158 |
preceding_context: ''
|
| 159 |
probability: 0.01
|
| 160 |
replacement: ''
|
| 161 |
segment: s
|
| 162 |
+
silence_after_probability: 0.29
|
| 163 |
+
silence_before_correction: -7.88
|
| 164 |
- following_context: '[^aiouejw]'
|
| 165 |
+
non_silence_before_correction: 0.94
|
| 166 |
preceding_context: ^
|
| 167 |
probability: 0.01
|
| 168 |
replacement: e s
|
| 169 |
segment: s
|
| 170 |
+
silence_after_probability: 0.99
|
| 171 |
+
silence_before_correction: -8.27
|
| 172 |
+
- following_context: '[^aiouejw]'
|
| 173 |
+
non_silence_before_correction: 0.9
|
| 174 |
+
preceding_context: ^
|
| 175 |
+
probability: 0.01
|
| 176 |
+
replacement: e z
|
| 177 |
+
segment: z
|
| 178 |
+
silence_after_probability: 0.34
|
| 179 |
+
silence_before_correction: -8.12
|
| 180 |
- following_context: ''
|
| 181 |
+
non_silence_before_correction: 0.83
|
| 182 |
preceding_context: ^
|
| 183 |
probability: 0.01
|
| 184 |
replacement: ''
|
| 185 |
segment: x
|
| 186 |
+
silence_after_probability: 0.6
|
| 187 |
+
silence_before_correction: -7.85
|
| 188 |
- following_context: $
|
| 189 |
+
non_silence_before_correction: 0.89
|
| 190 |
preceding_context: ''
|
| 191 |
probability: 0.01
|
| 192 |
replacement: ''
|
| 193 |
segment: ɾ
|
| 194 |
+
silence_after_probability: 0.18
|
| 195 |
+
silence_before_correction: -8.02
|
| 196 |
- following_context: $
|
| 197 |
+
non_silence_before_correction: 0.91
|
| 198 |
preceding_context: ''
|
| 199 |
probability: 0.01
|
| 200 |
replacement: r
|
| 201 |
segment: ɾ
|
| 202 |
+
silence_after_probability: 0.22
|
| 203 |
+
silence_before_correction: -8.1
|
| 204 |
- following_context: $
|
| 205 |
+
non_silence_before_correction: 0.87
|
| 206 |
preceding_context: ''
|
| 207 |
probability: 0.01
|
| 208 |
replacement: ''
|
| 209 |
segment: '[ŋnmɲ]'
|
| 210 |
+
silence_after_probability: 0.03
|
| 211 |
+
silence_before_correction: -7.92
|
| 212 |
- following_context: $
|
| 213 |
+
non_silence_before_correction: 0.88
|
| 214 |
preceding_context: ''
|
| 215 |
probability: 0.01
|
| 216 |
replacement: ''
|
| 217 |
segment: ð
|
| 218 |
+
silence_after_probability: 0.26
|
| 219 |
+
silence_before_correction: -8.06
|
| 220 |
- following_context: '[^aiouejw]'
|
| 221 |
+
non_silence_before_correction: 0.87
|
| 222 |
preceding_context: '[aiouejw]'
|
| 223 |
probability: 0.01
|
| 224 |
replacement: r
|
| 225 |
segment: ɾ
|
| 226 |
+
silence_after_probability: 0.28
|
| 227 |
+
silence_before_correction: -7.82
|
| 228 |
- following_context: '[aiouejw]'
|
| 229 |
+
non_silence_before_correction: 0.87
|
| 230 |
preceding_context: '[^aiouejw]'
|
| 231 |
probability: 0.01
|
| 232 |
replacement: r
|
| 233 |
segment: ɾ
|
| 234 |
+
silence_after_probability: 0.23
|
| 235 |
+
silence_before_correction: -7.88
|
| 236 |
- following_context: ''
|
| 237 |
+
non_silence_before_correction: 0.85
|
| 238 |
preceding_context: ''
|
| 239 |
probability: 0.01
|
| 240 |
replacement: s
|
| 241 |
segment: θ
|
| 242 |
+
silence_after_probability: 0.31
|
| 243 |
+
silence_before_correction: -7.76
|
| 244 |
- following_context: $
|
| 245 |
+
non_silence_before_correction: 0.92
|
| 246 |
preceding_context: ''
|
| 247 |
probability: 0.01
|
| 248 |
replacement: ''
|
| 249 |
segment: θ
|
| 250 |
+
silence_after_probability: 0.19
|
| 251 |
+
silence_before_correction: -8.21
|
| 252 |
rules: []
|
dictionary/spanish_latin_america_mfa.dict
CHANGED
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|
dictionary/spanish_spain_mfa.dict
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45f259ecc2df26fe0181748404dc62dbecd4e70b4f44e818f2d086e4963795a1
|
| 3 |
+
size 11322305
|
g2p/spanish_latin_america_mfa/meta.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"version": "3.2.0", "architecture": "phonetisaurus", "train_date": "2024-09-15 16:51:13.487039", "phones": ["
|
|
|
|
| 1 |
+
{"version": "3.2.0", "architecture": "phonetisaurus", "train_date": "2024-09-15 16:51:13.487039", "phones": ["\u027e", "v", "l", "\u028e", "o\u0303", "\u0261", "u\u0303", "\u00f0", "\u029d", "e\u0303", "i", "\u0271", "e", "t\u032a", "i\u0303", "k", "d\u032a", "s", "n", "\u025f", "u", "w", "m", "z", "o", "\u025f\u029d", "\u0272", "t\u0283", "x", "\u0263", "a", "f", "p", "r", "\u00e7", "\u014b", "\u03b2", "\u0283", "j", "a\u0303", "c", "b"], "graphemes": ["v", "\u0302", "l", "y", "c", "'", "\u00f1", "i", "\u0301", "e", "h", "\u00e9", "k", "g", "s", "d", "n", "t", "u", "\u00fc", "w", "m", "\u00fa", "z", "\u0308", "o", "\u00e1", "\u00f3", "\u0303", "x", "a", "f", "r", "p", "q", "j", "\u00ed", "b"], "grapheme_order": 2, "phone_order": 2, "sequence_separator": "|", "unicode_decomposition": true, "evaluation": {"num_words": 11776, "word_error_rate": null, "phone_error_rate": null}, "training": {"num_words": 139675, "num_graphemes": 38, "num_phones": 42}}
|
g2p/spanish_spain_mfa/meta.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"version": "3.2.0", "architecture": "phonetisaurus", "train_date": "2024-09-15 16:26:51.342202", "phones": ["
|
|
|
|
| 1 |
+
{"version": "3.2.0", "architecture": "phonetisaurus", "train_date": "2024-09-15 16:26:51.342202", "phones": ["\u027e", "v", "l", "\u028e", "o\u0303", "\u0261", "u\u0303", "\u00f0", "\u029d", "e\u0303", "i", "\u0271", "e", "t\u032a", "i\u0303", "k", "d\u032a", "s", "n", "\u025f", "u", "w", "m", "z", "o", "\u025f\u029d", "\u0272", "\u03b8", "t\u0283", "x", "\u0263", "a", "f", "p", "r", "\u00e7", "\u014b", "\u03b2", "\u0283", "j", "a\u0303", "c", "b"], "graphemes": ["v", "\u0302", "l", "y", "c", "'", "\u00f1", "i", "\u0301", "e", "h", "\u00e9", "k", "g", "s", "d", "n", "t", "u", "\u00fc", "w", "m", "\u00fa", "z", "\u0308", "o", "\u00e1", "\u00f3", "\u0303", "x", "a", "f", "r", "p", "q", "j", "\u00ed", "b"], "grapheme_order": 2, "phone_order": 2, "sequence_separator": "|", "unicode_decomposition": true, "evaluation": {"num_words": 11790, "word_error_rate": null, "phone_error_rate": null}, "training": {"num_words": 139661, "num_graphemes": 38, "num_phones": 43}}
|