Audio

CONTUNER: Singing Voice Beautifying with Pitch and Expressiveness Condition
Singing voice beautifying is a novel task that has application value in people’s daily life, aiming to correct the pitch of the …
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CONTUNER: Singing Voice Beautifying with Pitch and Expressiveness Condition
EAD-VC: Enhancing Speech Auto-Disentanglement for Voice Conversion with IFUB Estimator and Joint Text-Guided Consistent Learning
Using unsupervised learning to disentangle speech into content, rhythm, pitch, and timbre for voice conversion has become a hot …
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EAD-VC: Enhancing Speech Auto-Disentanglement for Voice Conversion with IFUB Estimator and Joint Text-Guided Consistent Learning
EfficientASR: Speech Recognition Network Compression via Attention Redundancy and Chunk-Level FFN Optimization
In recent years, Transformer networks have shown remarkable performance in speech recognition tasks. However, their deployment poses …
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EfficientASR: Speech Recognition Network Compression via Attention Redundancy and Chunk-Level FFN Optimization
Enhancing Anomalous Sound Detection with Multi-Level Memory Bank
Abnormal sound detection (ASD) is crucial for the timely detection of machine faults in industrial scenarios and has emerged as a …
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Enhancing Anomalous Sound Detection with Multi-Level Memory Bank
Learning Expressive Disentangled Speech Representations with Soft Speech Units and Adversarial Style Augmentation
Voice conversion is the task to transform voice characteristics of source speech while preserving content information. Nowadays, …
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Learning Expressive Disentangled Speech Representations with Soft Speech Units and Adversarial Style Augmentation
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