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Shinnosuke Takamichi

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#natural language process... Preprint Sep 2026

YODAS v3: Over 1 Million Hours of High-Bandwidth, Stereophonic, Multilingual Speech

We present YODAS v3, a weakly-labeled speech corpus containing over 1.1 million hours of 48kHz multi-channel audio in 147 languages, released under a CC BY 3.0 license. YODAS v3 is not only the largest open speech dataset to date, but also the first truly large-scale speech corpus with high-fidelity stereo audio. We fi...

William Chen, Shinnosuke Takamichi, Sayaka Shiota et al. · 0 citations
#natural language process... Preprint Sep 2026

KABURI-TTS: Phoneme-Keyed Activity-conditioned Bi-channel Utterance Rendering for Interaction

A user evaluation shows that the proposed KABURI-TTS attains higher naturalness at both the utterance and the interaction level, and an analysis of voice activity confirms that the proposed method produces more overlap and more frequent turn-taking.

Ryuichiro Higashinaka, Shinnosuke Takamichi, Tetsuji Ogawa · 0 citations
#natural language process... Preprint Aug 2026

Language-Statistical Analysis of Neural Audio Codec Tokens Across Architectures, Corpora, and Noise Conditions

This paper analyzes the token statistics of 13 NACs spanning multi-codebook residual vector quantization, single-codebook VQ, and non-VQ designs, evaluated on three corpora under clean, white-noise, and real-world DEMAND-noise conditions to provide architecture-conditioned conventions for applying language-statistical...

Joonyong Park, Shinnosuke Takamichi, David M. Chan et al. · 1 citation

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