4 papers
Confidence-based Filtering for Speech Dataset Curation with Generative Speech Enhancement Using Discrete Tokens
Kazuki Yamauchi, Masato Murata, Shogo Seki
Generative speech enhancement (GSE) models show great promise in producing high-quality clean speech from noisy inputs, enabling applications such as curating noisy text-to-speech…
Speaker-agnostic Emotion Vector for Cross-speaker Emotion Intensity Control
Masato Murata, Koichi Miyazaki, Tomoki Koriyama
Cross-speaker emotion intensity control aims to generate emotional speech of a target speaker with desired emotion intensities using only their neutral speech. A recently proposed…
Eigenvoice Synthesis based on Model Editing for Speaker Generation
Masato Murata, Koichi Miyazaki, Tomoki Koriyama +1
Speaker generation task aims to create unseen speaker voice without reference speech. The key to the task is defining a speaker space that represents diverse speakers to determine…
Mamba-based Decoder-Only Approach with Bidirectional Speech Modeling for Speech Recognition
Yoshiki Masuyama, Koichi Miyazaki, Masato Murata
Selective state space models (SSMs) represented by Mamba have demonstrated their computational efficiency and promising outcomes in various tasks, including automatic speech recogn…