4 papers · 1 filter
DialogueSidon: Recovering Full-Duplex Dialogue Tracks from In-the-Wild Dialogue Audio
Wataru Nakata, Yuki Saito, Kazuki Yamauchi +2
Full-duplex dialogue audio, in which each speaker is recorded on a separate track, is an important resource for spoken dialogue research, but is difficult to collect at scale. Most…
LibriTTS-VI: A Public Corpus and Novel Methods for Efficient Voice Impression Control
Junki Ohmura, Yuki Ito, Emiru Tsunoo +2
Numerical voice impression (VI) control (e.g., scaling brightness) enables fine-grained control in text-to-speech (TTS). However, it faces two challenges: no public corpus and impr…
Phonological Tokenizer: Prosody-Aware Phonetic Token via Multi-Objective Fine-Tuning with Differentiable K-Means
Kentaro Onda, Hayato Futami, Yosuke Kashiwagi +2
In recent years, there has been growing interest in representing speech with discrete tokens, which serve as pseudo-text for speech language models (speechLMs) and as efficient int…
Differentiable K-means for Fully-optimized Discrete Token-based ASR
Kentaro Onda, Yosuke Kashiwagi, Emiru Tsunoo +2
Recent studies have highlighted the potential of discrete tokens derived from self-supervised learning (SSL) models for various speech-related tasks. These tokens serve not only as…