Papers with LM-based streaming zero-shot VC model

1 papers
StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion (2024.acl-long)

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Challenge: Existing LM-based VC models require offline conversion from source semantics to acoustic features, limiting their deployment to real-time applications.
Approach: They propose a streaming LM-based model for zero-shot voice conversion that uses a fully causal context-aware LM with a temporal-independent acoustic predictor to facilitate real-time conversion given arbitrary speaker prompts and source speech.
Outcome: The proposed model achieves comparable performance to non-streaming VC systems while maintaining a fully causal context-aware LM with a temporal-independent acoustic predictor.

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