8 papers · 1 filter
ELSA: Acoustic Event-Level Semantic Alignment for Fine-Grained Reference-Free Text-to-Audio Evaluation
Shuntaro Suzuki, Kento Tokura, Daichi Yashima +3
Text-to-audio (TTA) generation, synthesizing audio from natural language, has been widely studied for its ability to capture precise user intent. To effectively advance TTA models,…
Voice Conversion for Likability Control via Automated Rating of Speech Synthesis Corpora
Hitoshi Suda, Shinnosuke Takamichi, Satoru Fukayama
Perceived voice likability plays a crucial role in various social interactions, such as partner selection and advertising. A system that provides reference likable voice samples ta…
Text-To-Speech Synthesis In The Wild
Jee-weon Jung, Wangyou Zhang, Soumi Maiti +11
Traditional Text-to-Speech (TTS) systems rely on studio-quality speech recorded in controlled settings.a Recently, an effort known as noisy-TTS training has emerged, aiming to util…
DNN-based ensemble singing voice synthesis with interactions between singers
Hiroaki Hyodo, Shinnosuke Takamichi, Tomohiko Nakamura +2
We propose a singing voice synthesis (SVS) method for a more unified ensemble singing voice by modeling interactions between singers. Most existing SVS methods aim to synthesize a…
BigCodec: Pushing the Limits of Low-Bitrate Neural Speech Codec
Detai Xin, Xu Tan, Shinnosuke Takamichi +1
We present BigCodec, a low-bitrate neural speech codec. While recent neural speech codecs have shown impressive progress, their performance significantly deteriorates at low bitrat…
SaSLaW: Dialogue Speech Corpus with Audio-visual Egocentric Information Toward Environment-adaptive Dialogue Speech Synthesis
Osamu Take, Shinnosuke Takamichi, Kentaro Seki +2
This paper presents SaSLaW, a spontaneous dialogue speech corpus containing synchronous recordings of what speakers speak, listen to, and watch. Humans consider the diverse environ…