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  1. .gitattributes +1 -0
  2. README.md +35 -53
  3. data/train-vm1-00000.parquet +3 -0
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.gitattributes CHANGED
@@ -60,3 +60,4 @@ saved_model/**/* 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
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  pocket_tts_manifest-train-vm2.jsonl 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
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  pocket_tts_manifest-train-vm2.jsonl filter=lfs diff=lfs merge=lfs -text
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+ pocket_tts_manifest-train-vm1.jsonl filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -4,62 +4,44 @@ language: [eu]
4
  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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- dataset_info:
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- features:
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- - name: id
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- dtype: string
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- - name: audio
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- dtype:
13
- audio:
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- sampling_rate: 24000
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- - name: text
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- dtype: string
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- - name: text_norm
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- dtype: string
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- - name: text_src
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- dtype: string
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- - name: voice_mode
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- dtype: string
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- - name: voice_id
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- dtype: string
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- - name: prompt_src
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- dtype: string
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- - name: instruct
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- dtype: string
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- - name: duration
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- dtype: float64
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- - name: cer_whisper
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- dtype: float64
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- - name: cer_conformer
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- dtype: float64
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- - name: utmos
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- dtype: float64
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- - name: spk_sim
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- dtype: float64
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- - name: teacher
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- dtype: string
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- - name: num_step
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- dtype: int64
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- - name: guidance
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- dtype: float64
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- - name: status
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- dtype: string
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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  ---
53
 
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  # BSSD: Basque Synthetic Speech Dataset
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- **Work in progress (2026-10-17).** Synthetic Basque speech generated with
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- [OmniVoice](https://github.com/k2-fsa/OmniVoice) and filtered with two Basque ASR systems.
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- The first half (runs v06-v11, 142k utterances, 183 h) is uploaded; the second half (about 150k
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- utterances) and the full dataset card with statistics, provenance, filtering details and the
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- named default voices follow within hours.
61
 
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- Columns: id, audio (24 kHz FLAC), text, text_norm, text_src, voice_mode, voice_id, prompt_src,
63
- instruct, duration, cer_whisper, cer_conformer, utmos, spk_sim, teacher, num_step, guidance, status.
64
 
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- License: CC-BY-SA-4.0. Teacher weights are CC-BY-NC; see the forthcoming provenance section.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4
  task_categories: [text-to-speech, automatic-speech-recognition]
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  pretty_name: BSSD (Basque Synthetic Speech Dataset)
6
  size_categories: [100K<n<1M]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7
  ---
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  # BSSD: Basque Synthetic Speech Dataset
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+ **287.6 hours**, 222637 utterances, 11710 voice identities, 24 kHz mono FLAC.
 
 
 
 
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+ ## Provenance
 
14
 
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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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+
22
+ 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
24
+ number/date sentences. Numbers and abbreviations were verbalised (`text_norm`).
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+
26
+ ## Filtering
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+
28
+ Every clip was transcribed with `xezpeleta/whisper-large-v3-eu` (and, where present,
29
+ `HiTZ/stt_eu_conformer_transducer_large_v2`); kept rows have CER <= 0.03 on all ASRs,
30
+ hypothesis length ratio within [0.7, 1.3], UTMOS >= 3.0, speaker similarity to the
31
+ prompt >= 0.9 (cloned rows), no clipping and no internal silence > 1.5s.
32
+
33
+ ## Columns
34
+
35
+ id, audio, text, text_norm, text_src, voice_mode, voice_id, prompt_src, instruct, duration,
36
+ cer_whisper, cer_conformer, utmos, spk_sim, teacher, num_step, guidance, status.
37
+
38
+ ## Limitations
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+
40
+ Synthetic read speech: prosody and voice variety are those of the teacher; no spontaneous
41
+ speech; occasional teacher artifacts may remain. Intended for TTS/ASR research and training.
42
+
43
+ ## License and attribution
44
+
45
+ CC-BY-SA-4.0. Please credit: k2-fsa OmniVoice; Wikimedia / Basque Wikipedia editors;
46
+ Mozilla Common Voice; Google (OpenSLR 76, Kjartansson et al. 2020); HiTZ Zentroa / Aholab;
47
+ Basque Parliament corpus (UPV/EHU GTTS).
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