BiSinger: Bilingual Singing Voice Synthesis

• URL: http://arxiv.org/abs/2309.14089v3
• Date: Tue, 9 Jan 2024 07:04:46 GMT
• Title: BiSinger: Bilingual Singing Voice Synthesis
• Authors: Huali Zhou, Yueqian Lin, Yao Shi, Peng Sun, Ming Li
• Abstract summary: This paper presents BiSinger, a bilingual pop SVS system for English and Chinese Mandarin. We design a shared representation between Chinese and English singing voices, achieved by using the CMU dictionary with mapping rules. Experiments affirm that our language-independent representation and incorporation of related datasets enable a single model with enhanced performance in English and code-switch SVS.
• Score: 9.600465391545477
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Although Singing Voice Synthesis (SVS) has made great strides with Text-to-Speech (TTS) techniques, multilingual singing voice modeling remains relatively unexplored. This paper presents BiSinger, a bilingual pop SVS system for English and Chinese Mandarin. Current systems require separate models per language and cannot accurately represent both Chinese and English, hindering code-switch SVS. To address this gap, we design a shared representation between Chinese and English singing voices, achieved by using the CMU dictionary with mapping rules. We fuse monolingual singing datasets with open-source singing voice conversion techniques to generate bilingual singing voices while also exploring the potential use of bilingual speech data. Experiments affirm that our language-independent representation and incorporation of related datasets enable a single model with enhanced performance in English and code-switch SVS while maintaining Chinese song performance. Audio samples are available at https://bisinger-svs.github.io.

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