activity
20242026
collaborators

14 papers

cs.SD2026

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…

cs.SD2026

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…

cs.CL2026

Benchmarking Speech-to-Speech Translation Models

Alkis Koudounas, Hayato Futami, Quentin Jodelet +3

Speech-to-speech translation (S2ST) has advanced rapidly, but offline evaluation lacks a unified protocol: studies report non-overlapping metric subsets, preventing direct comparis…

cs.SD2026

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…

cs.CL2026

Optimizing Conversational Quality in Spoken Dialogue Systems with Reinforcement Learning from AI Feedback

Siddhant Arora, Jinchuan Tian, Jiatong Shi +4

Reinforcement learning from human or AI feedback (RLHF/RLAIF) for speech-in/speech-out dialogue systems (SDS) remains underexplored, with prior work largely limited to single seman…

cs.CL2025

Chain-of-Thought Reasoning in Streaming Full-Duplex End-to-End Spoken Dialogue Systems

Siddhant Arora, Jinchuan Tian, Hayato Futami +4

Most end-to-end (E2E) spoken dialogue systems (SDS) rely on voice activity detection (VAD) for turn-taking, but VAD fails to distinguish between pauses and turn completions. Duplex…