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  1. .gitattributes +1 -0
  2. README.md +40 -1
  3. data/train-vm2-00000.parquet +3 -0
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.gitattributes CHANGED
@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ pocket_tts_manifest.jsonl filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,8 +1,47 @@
1
  ---
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  license: cc-by-sa-4.0
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  language: [eu]
 
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  pretty_name: BSSD (Basque Synthetic Speech Dataset)
 
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  ---
 
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  # BSSD: Basque Synthetic Speech Dataset
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- Private staging repo. Data and the full card are uploaded when the generation runs finish (see pocket-tts-eu/DATASET_PLAN.md).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-sa-4.0
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  language: [eu]
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+ task_categories: [text-to-speech, automatic-speech-recognition]
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  pretty_name: BSSD (Basque Synthetic Speech Dataset)
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+ size_categories: [100K<n<1M]
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  ---
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+
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  # BSSD: Basque Synthetic Speech Dataset
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+ **183.2 hours**, 142233 utterances, 6755 voice identities, 24 kHz mono FLAC.
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+
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+ ## Provenance
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+
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+ All audio was generated with [OmniVoice](https://github.com/k2-fsa/OmniVoice)
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+ (`k2-fsa/OmniVoice`, code Apache-2.0, weights CC-BY-NC, Higgs Audio V2 tokenizer under the Boson
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+ community license) at num_step=32, guidance_scale=2.0. Prompt modes: synthetic
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+ voice bank (OmniVoice auto/design clips used as cloning prompts), real Basque prompts from
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+ OpenSLR 76 (CC-BY-SA-4.0) and the HiTZ-Aholab studio corpus (CC-BY-4.0), voice design and
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+ auto voice. No Common Voice contributor's voice was cloned.
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+
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+ Text sources: Basque Wikipedia (CC-BY-SA-4.0), Mozilla Common Voice sentence pool (CC0),
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+ Basque Parliament transcripts (CC0), OpenSLR 76 transcripts (CC-BY-SA-4.0) and templated
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+ number/date sentences. Numbers and abbreviations were verbalised (`text_norm`).
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+
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+ ## Filtering
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+
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+ Every clip was transcribed with `xezpeleta/whisper-large-v3-eu` (and, where present,
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+ `HiTZ/stt_eu_conformer_transducer_large_v2`); kept rows have CER <= 0.03 on all ASRs,
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+ hypothesis length ratio within [0.7, 1.3], UTMOS >= 3.0, speaker similarity to the
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+ prompt >= 0.9 (cloned rows), no clipping and no internal silence > 1.5s.
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+
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+ ## Columns
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+
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+ id, audio, text, text_norm, text_src, voice_mode, voice_id, prompt_src, instruct, duration,
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+ cer_whisper, cer_conformer, utmos, spk_sim, teacher, num_step, guidance, status.
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+
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+ ## Limitations
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+
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+ Synthetic read speech: prosody and voice variety are those of the teacher; no spontaneous
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+ speech; occasional teacher artifacts may remain. Intended for TTS/ASR research and training.
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+
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+ ## License and attribution
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+
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+ CC-BY-SA-4.0. Please credit: k2-fsa OmniVoice; Wikimedia / Basque Wikipedia editors;
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+ Mozilla Common Voice; Google (OpenSLR 76, Kjartansson et al. 2020); HiTZ Zentroa / Aholab;
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+ Basque Parliament corpus (UPV/EHU GTTS).
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