Audio

MAIN-VC: Lightweight Speech Representation Disentanglement for One-Shot Voice Conversion
One-shot voice conversion aims to change the timbre of any source speech to match that of the unseen target speaker with only one …
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MAIN-VC: Lightweight Speech Representation Disentanglement for One-Shot Voice Conversion
Medical Speech Symptoms Classification via Disentangled Representation
Intent is defined for understanding spoken language in existing works. Both textual features and acoustic features involved in medical …
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Medical Speech Symptoms Classification via Disentangled Representation
EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model
In recent years, the field of talking faces generation has attracted considerable attention, with certain methods adept at generating …
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EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model
ED-TTS: Multi-Scale Emotion Modeling Using Cross-Domain Emotion Diarization for Emotional Speech Synthesis
Existing emotional speech synthesis methods often utilize an utterance-level style embedding extracted from reference audio, neglecting …
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ED-TTS: Multi-Scale Emotion Modeling Using Cross-Domain Emotion Diarization for Emotional Speech Synthesis
Learning Disentangled Speech Representations with Contrastive Learning and Time-Invariant Retrieval
Voice conversion refers to transferring speaker identity with well-preserved content. Better disentanglement of speech representations …
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Learning Disentangled Speech Representations with Contrastive Learning and Time-Invariant Retrieval
Research on Audio Model Generation Technology Based on Hierarchical Federated Framework
This study focuses on the development of next-generation audio generation techniques, specifically through the construction of a …
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PMVC: Data Augmentation-Based Prosody Modeling for Expressive Voice Conversion
Voice conversion as the style transfer task applied to speech, refers to converting one person’s speech into a new speech that …
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PMVC: Data Augmentation-Based Prosody Modeling for Expressive Voice Conversion
CLN-VC: Text-Free Voice Conversion Based on Fine-Grained Style Control and Contrastive Learning with Negative Samples Augmentation
Better disentanglement of speech representation is essential to improve the quality of voice conversion. Recently contrastive learning …
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CLN-VC: Text-Free Voice Conversion Based on Fine-Grained Style Control and Contrastive Learning with Negative Samples Augmentation
CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding
This paper proposes a talking face generation method named “CP-EB” that takes an audio signal as input and a person image as reference, …
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CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding
DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation
Most existing neural-based text-to-speech methods rely on extensive datasets and face challenges under low-resource condition. In this …
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DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation