SRC4VC: Smartphone-Recorded Corpus for Voice Conversion Benchmark

Autor:	Saito, Yuki, Igarashi, Takuto, Seki, Kentaro, Takamichi, Shinnosuke, Yamamoto, Ryuichi, Tachibana, Kentaro, Saruwatari, Hiroshi
Rok vydání:	2024
Předmět:	Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	We present SRC4VC, a new corpus containing 11 hours of speech recorded on smartphones by 100 Japanese speakers. Although high-quality multi-speaker corpora can advance voice conversion (VC) technologies, they are not always suitable for testing VC when low-quality speech recording is given as the input. To this end, we first asked 100 crowdworkers to record their voice samples using smartphones. Then, we annotated the recorded samples with speaker-wise recording-quality scores and utterance-wise perceived emotion labels. We also benchmark SRC4VC on any-to-any VC, in which we trained a multi-speaker VC model on high-quality speech and used the SRC4VC speakers' voice samples as the source in VC. The results show that the recording quality mismatch between the training and evaluation data significantly degrades the VC performance, which can be improved by applying speech enhancement to the low-quality source speech samples. Comment: Accepted for INTERSPEECH 2024, corpus project page: https://y-saito.sakura.ne.jp/sython/Corpus/SRC4VC/index.html
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2406.07254 Zobrazit plný text záznamu View this record from Arxiv