collaborators

7 papers

eess.AS2024

StreamVoice+: Evolving into End-to-end Streaming Zero-shot Voice Conversion

Zhichao Wang, Yuanzhe Chen, Xinsheng Wang +2

StreamVoice has recently pushed the boundaries of zero-shot voice conversion (VC) in the streaming domain. It uses a streamable language model (LM) with a context-aware approach to…

eess.AS2024

StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion

Zhichao Wang, Yuanzhe Chen, Xinsheng Wang +2

Recent language model (LM) advancements have showcased impressive zero-shot voice conversion (VC) performance. However, existing LM-based VC models usually apply offline conversion…

cs.SD2024

Joint Multi-scale Cross-lingual Speaking Style Transfer with Bidirectional Attention Mechanism for Automatic Dubbing

Jingbei Li, Sipan Li, Ping Chen +7

Automatic dubbing, which generates a corresponding version of the input speech in another language, could be widely utilized in many real-world scenarios such as video and game loc…

eess.AS2024

Seed-TTS: A Family of High-Quality Versatile Speech Generation Models

Philip Anastassiou, Jiawei Chen, Jitong Chen +43

We introduce Seed-TTS, a family of large-scale autoregressive text-to-speech (TTS) models capable of generating speech that is virtually indistinguishable from human speech. Seed-T…

eess.AS2024

Multi-level Temporal-channel Speaker Retrieval for Zero-shot Voice Conversion

Zhichao Wang, Liumeng Xue, Qiuqiang Kong +4

Zero-shot voice conversion (VC) converts source speech into the voice of any desired speaker using only one utterance of the speaker without requiring additional model updates. Typ…

cs.SD2024

AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining

Haohe Liu, Yi Yuan, Xubo Liu +7

Although audio generation shares commonalities across different types of audio, such as speech, music, and sound effects, designing models for each type requires careful considerat…