Audio

CycleFlow: Leveraging Cycle Consistency in Flow Matching for Speaker Style Adaptation
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CycleFlow: Leveraging Cycle Consistency in Flow Matching for Speaker Style Adaptation
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding
The audio watermarking technique embeds messages into audio and accurately extracts messages from the watermarked audio. Traditional …
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IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding
Enhancing Emotion Prediction and Recognition in Conversation through Fine-Grained Emotional Cue Analysis and Cross-Modal Fusion
The purpose of emotion recognition in conversation (ERC) is to identify the emotion category of an utterance based on contextual …
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Enhancing Emotion Prediction and Recognition in Conversation through Fine-Grained Emotional Cue Analysis and Cross-Modal Fusion
RSET: Remapping-based Sorting Method for Emotion Transfer Speech Synthesis
Although current Text-To-Speech (TTS) models are able to generate high-quality speech samples, there are still challenges in developing …
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RSET: Remapping-based Sorting Method for Emotion Transfer Speech Synthesis
Retrieval-Augmented Audio Deepfake Detection
With recent advances in speech synthesis including text-to-speech (TTS) and voice conversion (VC) systems enabling the generation of …
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Retrieval-Augmented Audio Deepfake Detection
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