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SynDataLab-JA-Refs/irodori-refs-10k-v2

Irodori TTS Reference Voices v2 (10K) 10,000 reference voices generated with Aratako/Irodori-TTS-500M-v2-VoiceDesign (no_ref=True) using a richer caption space than v1: 8 axes (gender × age × pitch × tone × speed × distance × emotion × quality) with per-voice unique caption combinations, plus gender alternation, an incompatibility filter (no contradictory "whisper + speak loudly" combos), and a similarity-rejection window so consecutive voices stay distinct. Each ref's text… See the full description on the dataset page: https://huggingface.co/datasets/SynDataLab-JA-Refs/irodori-refs-10k-v2.

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face

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Irodori TTS Reference Voices v2 (10K)

10,000 reference voices generated with Aratako/Irodori-TTS-500M-v2-VoiceDesign (no_ref=True) using a richer caption space than v1: 8 axes (gender × age × pitch × tone × speed × distance × emotion × quality) with per-voice unique caption combinations, plus gender alternation, an incompatibility filter (no contradictory "whisper + speak loudly" combos), and a similarity-rejection window so consecutive voices stay distinct.

Each ref's text comes from the v2 corpus (SynDataLab/DeepSeekFlash-3M-en-style conversational utterances, Japanese) — 1/3 from each of the quip / mid / long length buckets so audio spans roughly 4-15 s.

Schema

column	type
`audio`	`audio(sampling_rate=48000)`, mono
`text`	string (the spoken text, includes emoji prosody cues)
`speaker_id`	`ref_speaker_v2_NNNNN`, sequential 1-10000

Companion clones dataset: SynDataLab/irodori-clones-3m-v2 (300 clones per voice → 3M total ≈ 7000 h of audio).

Irodori TTS Reference Voices v2 (10K)

Schema

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