Instructions to use MontrealCorpusTools/korean_mfa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Montreal Forced Aligner
How to use MontrealCorpusTools/korean_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 +3 -11
- 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/korean_mfa.dict +0 -0
- dictionary/rules.yaml +47 -47
- g2p/korean_mfa/meta.json +1 -1
README.md
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- **Male speakers:** 15
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- **Unknown speakers:** 24
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#### GlobalPhone Korean
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- **Source:** https://catalogue.elra.info/en-us/repository/browse/ELRA-S0200/
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- **Number of utterances:** 8,007
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- **Number of speakers:** 99
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- **Female speakers:** 50
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- **Male speakers:**
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- **Unknown speakers:** 0
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#### Deeply Korean read speech corpus public sample
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- **Source:** https://www.openslr.org/97/
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- **Male speakers:** 0
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- **Unknown speakers:** 0
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-
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#### ASR-KCSC A Korean Conversational Speech Corpus
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- **Source:** https://magichub.com/datasets/korean-conversational-speech-corpus/
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- **Male speakers:** 10
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- **Unknown speakers:** 0
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#### ASR-SKDuSC A Scripted Korean Daily-use Speech Corpus
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- **Source:** https://magichub.com/datasets/korean-scripted-speech-corpus-daily-use-sentence/
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- **Male speakers:** 5
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- **Unknown speakers:** 0
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-
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#### Korean Single Speaker Speech Dataset
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- **Source:** https://www.kaggle.com/datasets/bryanpark/korean-single-speaker-speech-dataset
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- **Dialects:** N/A
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- **Number of hours:** 12.86
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- **Number of utterances:** 12,854
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- **Number of speakers:**
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- **Female speakers:** 1
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- **Male speakers:** 0
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- **Unknown speakers:** 0
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-
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#### Pansori TEDxKR
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- **Source:** http://www.openslr.org/58/
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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:** N/A
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- **Number of hours:** 2.
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- **Number of utterances:** 2,989
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- **Number of speakers:** 41
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- **Female speakers:** 9
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- **Male speakers:** 32
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- **Unknown speakers:** 0
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#### Zeroth Korean
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- **Source:** https://openslr.org/40/
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- **Male speakers:** 45
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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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- **Male speakers:** 15
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- **Unknown speakers:** 24
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#### GlobalPhone Korean
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- **Source:** https://catalogue.elra.info/en-us/repository/browse/ELRA-S0200/
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- **Number of utterances:** 8,007
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- **Number of speakers:** 99
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- **Female speakers:** 50
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- **Male speakers:** 50
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- **Unknown speakers:** 0
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#### Deeply Korean read speech corpus public sample
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- **Source:** https://www.openslr.org/97/
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- **Male speakers:** 0
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- **Unknown speakers:** 0
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#### ASR-KCSC A Korean Conversational Speech Corpus
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- **Source:** https://magichub.com/datasets/korean-conversational-speech-corpus/
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- **Male speakers:** 10
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- **Unknown speakers:** 0
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#### ASR-SKDuSC A Scripted Korean Daily-use Speech Corpus
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- **Source:** https://magichub.com/datasets/korean-scripted-speech-corpus-daily-use-sentence/
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- **Male speakers:** 5
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- **Unknown speakers:** 0
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#### Korean Single Speaker Speech Dataset
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- **Source:** https://www.kaggle.com/datasets/bryanpark/korean-single-speaker-speech-dataset
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- **Dialects:** N/A
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- **Number of hours:** 12.86
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- **Number of utterances:** 12,854
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- **Number of speakers:** 1
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- **Female speakers:** 1
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- **Male speakers:** 0
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- **Unknown speakers:** 0
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#### Pansori TEDxKR
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- **Source:** http://www.openslr.org/58/
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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:** N/A
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- **Number of hours:** 2.68
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- **Number of utterances:** 2,989
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- **Number of speakers:** 41
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- **Female speakers:** 9
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- **Male speakers:** 32
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- **Unknown speakers:** 0
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#### Zeroth Korean
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- **Source:** https://openslr.org/40/
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- **Male speakers:** 45
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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/final.alimdl
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acoustic/final.mdl
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acoustic/lda.mat
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acoustic/meta.json
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{"phones": ["b", "bʲ", "bʷ", "c", "cʰ", "cʰː", "c͈", "d", "dʑ", "dʑʷ", "dʲ", "dʷ", "e", "eː", "h", "i", "iː", "j", "k", "kʰ", "kʰː", "kʷ", "kʷː", "k̚", "k͈", "k͈ʷ", "k͈ː", "m", "mʲ", "mʲː", "mː", "n", "nː", "o", "oː", "p", "pʰ", "pʰː", "pʲ", "pʲː", "pʷ", "p̚", "p͈", "p͈ʲ", "p͈ʷ", "p͈ː", "s", "sʰ", "sʰː", "sʷ", "sː", "s͈", "s͈ʷ", "s͈ː", "t", "tɕ", "tɕʰ", "tɕʰː", "tɕʷ", "tɕʷː", "tɕː", "tɕ͈", "
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{"phones": ["b", "bʲ", "bʷ", "c", "cʰ", "cʰː", "c͈", "d", "dʑ", "dʑʷ", "dʲ", "dʷ", "e", "eː", "h", "i", "iː", "j", "k", "kʰ", "kʰː", "kʷ", "kʷː", "k̚", "k͈", "k͈ʷ", "k͈ː", "m", "mʲ", "mʲː", "mː", "n", "nː", "o", "oː", "p", "pʰ", "pʰː", "pʲ", "pʲː", "pʷ", "p̚", "p͈", "p͈ʲ", "p͈ʷ", "p͈ː", "s", "sʰ", "sʰː", "sʷ", "sː", "s͈", "s͈ʷ", "s͈ː", "t", "tɕ", "tɕʰ", "tɕʰː", "tɕʷ", "tɕʷː", "tɕː", "tɕ͈", "t��͈ʷ", "tɕ͈ː", "tʰ", "tʰː", "tʲ", "tʷ", "tʷː", "t̚", "t͈", "t͈ʲ", "t͈ː", "u", "uː", "w", "x", "ç", "ŋ", "ɐ", "ɕʰ", "ɕ͈", "ɛ", "ɛː", "ɟ", "ɡ", "ɡʷ", "ɣ", "ɥ", "ɦ", "ɨ", "ɨː", "ɭ", "ɭː", "ɰ", "ɲ", "ɸʷ", "ɾ", "ɾʲ", "ɾʷ", "ʌ", "ʌː", "ʎ", "ʎː", "ʝ", "β", "βʷ"], "phone_mapping": {"<eps>": 0, "sil": 1, "spn": 2, "b": 3, "bʲ": 4, "bʷ": 5, "c": 6, "cʰ": 7, "cʰː": 8, "c͈": 9, "d": 10, "dʑ": 11, "dʑʷ": 12, "dʲ": 13, "dʷ": 14, "e": 15, "eː": 16, "h": 17, "i": 18, "iː": 19, "j": 20, "k": 21, "kʰ": 22, "kʰː": 23, "kʷ": 24, "kʷː": 25, "k̚": 26, "k͈": 27, "k͈ʷ": 28, "k͈ː": 29, "m": 30, "mʲ": 31, "mʲː": 32, "mː": 33, "n": 34, "nː": 35, "o": 36, "oː": 37, "p": 38, "pʰ": 39, "pʰː": 40, "pʲ": 41, "pʲː": 42, "pʷ": 43, "p̚": 44, "p͈": 45, "p͈ʲ": 46, "p͈ʷ": 47, "p͈ː": 48, "s": 49, "sʰ": 50, "sʰː": 51, "sʷ": 52, "sː": 53, "s͈": 54, "s͈ʷ": 55, "s͈ː": 56, "t": 57, "tɕ": 58, "tɕʰ": 59, "tɕʰː": 60, "tɕʷ": 61, "tɕʷː": 62, "tɕː": 63, "tɕ͈": 64, "tɕ͈ʷ": 65, "tɕ͈ː": 66, "tʰ": 67, "tʰː": 68, "tʲ": 69, "tʷ": 70, "tʷː": 71, "t̚": 72, "t͈": 73, "t͈ʲ": 74, "t͈ː": 75, "u": 76, "uː": 77, "w": 78, "x": 79, "ç": 80, "ŋ": 81, "ɐ": 82, "ɕʰ": 83, "ɕ͈": 84, "ɛ": 85, "ɛː": 86, "ɟ": 87, "ɡ": 88, "ɡʷ": 89, "ɣ": 90, "ɥ": 91, "ɦ": 92, "ɨ": 93, "ɨː": 94, "ɭ": 95, "ɭː": 96, "ɰ": 97, "ɲ": 98, "ɸʷ": 99, "ɾ": 100, "ɾʲ": 101, "ɾʷ": 102, "ʌ": 103, "ʌː": 104, "ʎ": 105, "ʎː": 106, "ʝ": 107, "β": 108, "βʷ": 109}, "phone_groups": {"0": ["c", "cʰ", "cʰː", "c͈", "k", "kʰ", "kʰː", "kʷ", "kʷː", "k̚", "k͈", "k͈ʷ", "k͈ː", "ɟ", "ɡ", "ɡʷ"], "1": ["m", "mʲ", "mʲː", "mː"], "2": ["n", "nː"], "3": ["ŋ"], "4": ["ɲ"], "5": ["b", "bʲ", "bʷ", "p", "pʰ", "pʰː", "pʲ", "pʲː", "pʷ", "p̚", "p͈", "p͈ʲ", "p͈ʷ", "p͈ː"], "6": ["s", "sʰ", "sʰː", "sʷ", "sː", "s͈", "s͈ʷ", "s͈ː", "ɕʰ", "ɕ͈"], "7": ["d", "dʲ", "dʷ", "t", "tʰ", "tʰː", "tʲ", "tʷ", "tʷː", "t̚", "t͈", "t͈ʲ", "t͈ː"], "8": ["dʑ", "dʑʷ", "tɕ", "tɕʰ", "tɕʰː", "tɕʷ", "tɕʷː", "tɕː", "tɕ͈", "tɕ͈ʷ", "tɕ͈ː"], "9": ["j"], "10": ["w", "ɥ"], "11": ["h", "x", "ç", "ɣ", "ɦ", "ɸʷ", "ʝ", "β", "βʷ"], "12": ["ɰ"], "13": ["ɭ", "ɭː", "ɾ", "ɾʲ", "ɾʷ", "ʎ", "ʎː"], "14": ["e", "eː"], "15": ["i", "iː"], "16": ["o", "oː"], "17": ["u", "uː"], "18": ["ɐ"], "19": ["ɛ", "ɛː"], "20": ["ɨ", "ɨː"], "21": ["ʌ", "ʌː"]}, "version": "3.4.3", "architecture": "gmm-hmm", "train_date": "2026-10-11 23:43:24.389685", "training": {"audio_duration": 358622.4483237103, "num_speakers": 328, "num_utterances": 58647, "num_oovs": 0, "average_log_likelihood": -52.70632788580927}, "dictionaries": {"names": ["korean_mfa"], "default": "korean_mfa", "silence_word": "<eps>", "oov_word": "<unk>", "bracketed_word": "[bracketed]", "laughter_word": "[laughter]", "clitic_marker": "'", "position_dependent_phones": false}, "language": "korean", "tokenization": "ko", "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": true, "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": 0.17, "initial_silence_probability": 0.17, "final_silence_correction": 0.99, "final_non_silence_correction": 0.65, "duration_information": {"b": [-3.0896777426840396, 0.29815244099941846], "bʲ": [-3.070098861686198, 0.27898507465760364], "bʷ": [-3.178485442324341, 0.27471515530332985], "c": [-2.6447930954271386, 0.34181709692562184], "cʰ": [-2.5215023153313236, 0.3756873853750453], "cʰː": [-2.3189088752716085, 0.3789850165284737], "c͈": [-2.4915745193571066, 0.36627918545117594], "d": [-3.039354227137307, 0.23951816574627516], "dʑ": [-2.8766632204034903, 0.28904221450926404], "dʑʷ": [-2.8106973841695444, 0.24582931969648042], "dʲ": [-3.022251540772661, 0.3406712729760413], "m": [-2.7390250483952108, 0.4041642378167213], "pʰ": [-2.5755595287152535, 0.38265682076688196], "pʰː": [-2.3646262065352315, 0.4569666420335024], "pʲ": [-2.5491487734803875, 0.36824693613205584], "pʲː": [-2.4668418343689718, 0.38196366077452937], "pʷ": [-2.8460229417797915, 0.4307374605007702], "p̚": [-2.8128371910996384, 0.4786583683414872], "p͈": [-2.6612742684200468, 0.4889888923860672], "s": [-2.2959590788404296, 0.2931792329505916], "tɕ": [-2.5323093651452897, 0.34689720503431043], "tɕʰ": [-2.390065209994097, 0.3294475464160487], "tɕʰː": [-2.2589803992684274, 0.36224228700846517], "tɕʷ": [-2.2917504733301803, 0.27216905032746375], "tɕʷː": [-2.2216925779013312, 0.2540570830250385], "tɕː": [-2.185681731173445, 0.3878013225937122], "tɕ͈": [-2.5750140474164596, 0.3240930121736365], "dʷ": [-3.117509259752917, 0.20273305076454987], "e": [-2.4930154014016077, 0.5087241795623436], "eː": [-2.67190707757365, 0.4668322877623974], "h": [-3.8417083735044852, 0.9934879482021843], "i": [-2.6985083199056112, 0.5154397992285421], "iː": [-2.6790994176317557, 0.5640653757248238], "j": [-2.834879136321186, 0.4152819658165332], "k": [-2.752076502028766, 0.38994705046656813], "kʰ": [-2.430592004840336, 0.3777431162003106], "kʰː": [-2.475638389205977, 0.4025687930757689], "kʷ": [-2.6631396417301167, 0.3729006956702174], "kʷː": [-2.4130155936432174, 0.4134067532663868], "k̚": [-2.7869485108708347, 0.4105331370310682], "k͈": [-2.604128699035886, 0.3883166112129431], "k͈ʷ": [-2.569038282650607, 0.3854446125325067], "k͈ː": [-2.5334118779808814, 0.4490087574047307], "mʲ": [-2.8054236748662853, 0.34037189419697256], "mʲː": [-2.16859528220622, 0.246767927012011], "mː": [-2.158512231157057, 0.27488449448861196], "n": [-2.70037620421939, 0.46605319767895925], "nː": [-2.184329708032468, 0.31257967439642564], "o": [-2.5170772029544177, 0.5652366660653316], "oː": [-2.754716512634171, 0.5185560352611688], "p": [-2.772119383689735, 0.3859779604132908], "p͈ʲ": [-2.8470495582735955, 0.42129565696245025], "sʰ": [-2.5098584713955865, 0.3457873771823765], "sʰː": [-2.0901187923530027, 0.23966119908248948], "sʷ": [-2.2882639193992635, 0.34804976464052556], "sː": [-2.083718638812811, 0.25409551780888645], "s͈": [-2.223757153714461, 0.35098742732494864], "s͈ʷ": [-2.2657969610674242, 0.11046987775793378], "t": [-2.881077419544248, 0.3260084340935728], "tɕ͈ʷ": [-3.0444596268316357, 1.3592481961281715], 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0.4976815045943884], "ɟ": [-2.9384259816703353, 0.2772912079832658], "ɡ": [-3.0127723854246957, 0.3000695183872657], "ɡʷ": [-2.8855114283926575, 0.34052948538269906], "ɣ": [-4.504822715327828, 0.45864551211776916], "ɥ": [-3.8977109313478433, 0.9562907909484623], "ɦ": [-3.011838437263896, 0.5996716158607406], "ɨ": [-3.058212474789265, 0.6420564143979686], "ɨː": [-3.294331424703459, 0.5674547736335254], "ɭ": [-4.303865725292379, 0.6604410721689827], "ɭː": [-4.552252804959594, 0.31754662767640723], "ɰ": [-2.777606620991232, 0.5706790488225196], "ɲ": [-2.7863358357646564, 0.42753213188129513], "ɸʷ": [-2.8460264565049034, 0.7320882279300701], "ɾ": [-4.158032452989335, 0.6905288315727968], "ɾʲ": [-3.004990046736544, 0.41474427456707674], "ɾʷ": [-3.1939017290259275, 0.3212578299055906], "ʌ": [-2.6334366402547, 0.49082019319116926], "ʌː": [-2.856758795416783, 0.43654025801601065], "ʎ": [-4.58247332618122, 0.18918101555269454], "ʎː": [-3.6266910902101785, 0.9959083596521942], "ʝ": [-4.30065415774389, 0.699184978603181], "β": [-4.458214467748598, 0.540554388655451], "βʷ": [-4.267896460511945, 0.7504663564468096]}}
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acoustic/tree
CHANGED
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@@ -1,3 +1,3 @@
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:
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size
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 3 |
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size 378816
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dictionary/korean_mfa.dict
CHANGED
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The diff for this file is too large to render.
See raw diff
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dictionary/rules.yaml
CHANGED
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@@ -6,102 +6,102 @@ dialects:
|
|
| 6 |
probability: 0.08
|
| 7 |
replacement: ''
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| 8 |
segment: k̚
|
| 9 |
-
silence_after_probability:
|
| 10 |
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silence_before_correction: -0.
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| 11 |
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| 12 |
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non_silence_before_correction: 0.
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| 13 |
preceding_context: ''
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| 14 |
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probability: 0.
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| 15 |
replacement: ''
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| 16 |
segment: p̚
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| 17 |
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| 18 |
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silence_before_correction: -0.
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| 19 |
- following_context: '[tpkc].*'
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| 20 |
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non_silence_before_correction:
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| 21 |
preceding_context: ''
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| 22 |
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probability: 0.
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replacement: ''
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segment: t̚
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| 25 |
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| 26 |
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| 27 |
- following_context: $
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| 28 |
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non_silence_before_correction: 0.
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| 29 |
preceding_context: ''
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| 30 |
probability: 0.14
|
| 31 |
replacement: ''
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| 32 |
segment: k̚
|
| 33 |
-
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|
| 34 |
silence_before_correction: -0.19
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| 35 |
- following_context: $
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| 36 |
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| 37 |
preceding_context: ''
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probability: 0.
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| 39 |
replacement: ''
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segment: p̚
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silence_after_probability:
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silence_before_correction: -0.
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preceding_context: ''
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replacement: ''
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segment: t̚
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| 50 |
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silence_before_correction:
|
| 51 |
- following_context: ''
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non_silence_before_correction: -0.
|
| 53 |
preceding_context: ''
|
| 54 |
-
probability: 0.
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| 55 |
replacement: n
|
| 56 |
segment: n h
|
| 57 |
-
silence_after_probability: 0.
|
| 58 |
-
silence_before_correction: 0.
|
| 59 |
- following_context: ''
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| 60 |
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non_silence_before_correction: 0.
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| 61 |
preceding_context: ^
|
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probability: 0.
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| 63 |
replacement: d
|
| 64 |
segment: n
|
| 65 |
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silence_after_probability:
|
| 66 |
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silence_before_correction: -0.
|
| 67 |
- following_context: ''
|
| 68 |
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non_silence_before_correction:
|
| 69 |
preceding_context: ^
|
| 70 |
probability: 0.03
|
| 71 |
replacement: dʲ
|
| 72 |
segment: ɲ
|
| 73 |
-
silence_after_probability: 0.
|
| 74 |
-
silence_before_correction: 0.07
|
| 75 |
- following_context: ''
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| 76 |
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non_silence_before_correction: 0.
|
| 77 |
preceding_context: ^
|
| 78 |
-
probability: 0.
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| 79 |
replacement: bʲ
|
| 80 |
segment: mʲ
|
| 81 |
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silence_after_probability: 0.
|
| 82 |
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silence_before_correction: -0.
|
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non_silence_before_correction: -0.
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preceding_context: ''
|
| 86 |
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probability: 0.
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| 87 |
replacement: ɲ
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segment: n ʝ
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preceding_context: ''
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probability: 0.
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segment: dʲ
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|
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preceding_context: ''
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segment: tʲ
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| 106 |
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| 107 |
rules: []
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|
|
|
| 6 |
probability: 0.08
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| 7 |
replacement: ''
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segment: k̚
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non_silence_before_correction: 0.03
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preceding_context: ''
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replacement: ''
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segment: p̚
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silence_before_correction: -0.14
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non_silence_before_correction: 0.03
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preceding_context: ''
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probability: 0.35
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segment: t̚
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preceding_context: ''
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replacement: ''
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segment: k̚
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replacement: ''
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segment: p̚
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segment: t̚
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silence_before_correction: 0.0
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non_silence_before_correction: -0.03
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preceding_context: ''
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probability: 0.7
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segment: n h
|
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silence_after_probability: 0.87
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silence_before_correction: 0.08
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non_silence_before_correction: 0.06
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preceding_context: ^
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probability: 0.13
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replacement: d
|
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segment: n
|
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silence_after_probability: 0.36
|
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silence_before_correction: -0.15
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non_silence_before_correction: 0.05
|
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preceding_context: ^
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probability: 0.03
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replacement: dʲ
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segment: ɲ
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silence_after_probability: 0.68
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non_silence_before_correction: 0.1
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probability: 0.09
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segment: mʲ
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preceding_context: ''
|
| 86 |
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probability: 0.74
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| 87 |
replacement: ɲ
|
| 88 |
segment: n ʝ
|
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silence_after_probability: 0.86
|
| 90 |
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silence_before_correction: 0.33
|
| 91 |
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|
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non_silence_before_correction: 0.05
|
| 93 |
preceding_context: ''
|
| 94 |
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probability: 0.37
|
| 95 |
replacement: dʑ
|
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segment: dʲ
|
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silence_after_probability: 1.14
|
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silence_before_correction: -0.19
|
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| 100 |
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non_silence_before_correction: 0.08
|
| 101 |
preceding_context: ''
|
| 102 |
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probability: 0.24
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| 103 |
replacement: tɕʰ
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segment: tʲ
|
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silence_after_probability: 0.86
|
| 106 |
+
silence_before_correction: -0.34
|
| 107 |
rules: []
|
g2p/korean_mfa/meta.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"version": "3.2.0", "architecture": "phonetisaurus", "train_date": "2026-02-18 13:58:19.082128", "phones": ["
|
|
|
|
| 1 |
+
{"version": "3.2.0", "architecture": "phonetisaurus", "train_date": "2026-02-18 13:58:19.082128", "phones": ["b\u02b7", "k\u0348", "\u0261", "k\u02b0", "p\u0348\u02b2", "\u0255\u02b0", "d\u02b7", "t\u0348\u02b2", "k", "e", "w", "\u028e", "k\u02b0\u02d0", "s\u02b0", "s", "p\u02b0", "t\u0348", "\u028e\u02d0", "u", "o", "b\u02b2", "k\u0348\u02d0", "k\u02b7\u02d0", "s\u02b0\u02d0", "\u026d\u02d0", "p\u02b0\u02d0", "u\u02d0", "t\u0255\u02b0", "d\u0291\u02b7", "t\u0255\u0348", "\u025f", "\u028c\u02d0", "\u025b\u02d0", "\u03b2", "j", "p\u02b7", "m\u02b2\u02d0", "p\u0348", "p\u031a", "c", "\u0272", "b", "\u0250", "c\u02b0", "m", "\u00e7", "t", "p", "e\u02d0", "t\u0255\u02b7", "n\u02d0", "s\u02b7", "t\u02b2", "k\u031a", "\u027e\u02b7", "s\u0348", "t\u0255\u02b7\u02d0", "t\u0255\u02d0", "\u0261\u02b7", "p\u02b2\u02d0", "\u0263", "m\u02b2", "\u0270", "\u0255\u0348", "t\u0348\u02d0", "\u025b", "\u0268\u02d0", "p\u02b2", "x", "d\u02b2", "s\u0348\u02b7", "\u0265", "\u027e", "d", "i\u02d0", "p\u0348\u02d0", "\u028c", "k\u02b7", "t\u031a", "c\u02b0\u02d0", "t\u02b0", "\u026d", "k\u0348\u02b7", "o\u02d0", "h", "t\u02b7\u02d0", "s\u0348\u02d0", "i", "t\u02b7", "t\u0255", "t\u02b0\u02d0", "\u027e\u02b2", "\u0268", "c\u0348", "t\u0255\u0348\u02d0", "t\u0255\u0348\u02b7", "m\u02d0", "\u0278\u02b7", "\u0266", "d\u0291", "\u014b", "\u029d", "n", "\u03b2\u02b7", "t\u0255\u02b0\u02d0", "s\u02d0", "p\u0348\u02b7"], "graphemes": ["\u1165", "\u110f", "\u1103", "\u1167", "\u1102", "\u11b8", "\u1161", "\u1175", "\u11b2", "\u1163", "\u11be", "\u1172", "\u1108", "\u11b4", "\u1111", "\u11bc", "\u1101", "\u11af", "\u11b6", "\u1107", "\u1168", "\u116f", "\u11c0", "\u110e", "\u11b5", "\u11b9", "\u11c2", "\u116d", "\u11b7", "\u110b", "\u1162", "\u1166", "\u1104", "\u1106", "\u1112", "\u1169", "\u1110", "\u11b0", "\u1164", "\u11a9", "\u11bd", "\u110c", "\u1100", "\u11a8", "\u116b", "\u1170", "\u1171", "\u11c1", "\u11ad", "\u1174", "\u116a", "\u110a", "\u11ab", "\u116c", "\u1109", "\u1105", "\u11aa", "\u11ac", "\u11ba", "\u11ae", "\u1173", "\u11b1", "\u11bb", "\u110d", "\u116e", "\u11bf"], "grapheme_order": 2, "phone_order": 2, "sequence_separator": "|", "unicode_decomposition": true, "evaluation": {"num_words": 5348, "word_error_rate": null, "phone_error_rate": null}, "training": {"num_words": 48032, "num_graphemes": 66, "num_phones": 107}}
|