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Diffusion Timbre Transfer via Mutual Information Guided Inpainting
音乐生成 | 7.5/10
零样本
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Direct Preference Optimization For Speech Autoregressive Diffusion Models
语音合成 | 7.5/10
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Dual Data Scaling for Robust Two-Stage User-Defined Keyword Spotting
语音活动检测 | 7.5/10
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Emilia-NV: A Non-Verbal Speech Dataset with Word-Level Annotation for Human-Like Speech Modeling
语音识别 | 7.5/10
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Emo-TTA: Improving Test-Time Adaptation of Audio-Language Models for Speech Emotion Recognition
语音情感识别 | 7.0/10
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Emotional Dimension Control in Language Model-Based Text-To-Speech: Spanning a Broad Spectrum of Human Emotions
语音合成 | 7.5/10
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FAC-FACodec: Controllable Zero-Shot Foreign Accent Conversion with Factorized Speech Codec
语音转换 | 8.0/10
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GLAP: General Contrastive Audio-Text Pretraining Across Domains and Languages
音频检索 | 8.5/10
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Group Relative Policy Optimization for Text-to-Speech with Large Language Models
语音合成 | 8.0/10
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Hierarchical Discrete Flow Matching For Multi-Codebook Codec-Based Text-To-Speech
语音合成 | 7.5/10
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It Is Personal: The Importance of Personalization for Recognizing Self-Reported Emotion
语音情感识别 | 8.0/10
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Language-Infused Retrieval-Augmented CTC with Adaptive Soft-Hard Gating for Robust Code-Switching ASR
语音识别 | 8.0/10
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Leveraging Audio-Visual Data to Reduce the Multilingual Gap in Self-Supervised Speech Models
语音识别 | 6.0/10
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Leveraging prediction entropy for Automatic prompt weighting in Zero-Shot Audio-Language Classification
音频分类 | 7.5/10
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MaskVCT: Masked Voice Codec Transformer for Zero-Shot Voice Conversion with Increased Controllability via Multiple Guidances
语音转换 | 6.5/10
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MeanVC: Lightweight and Streaming Zero-Shot Voice Conversion via Mean Flows
语音转换 | 7.5/10
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MeanVoiceFlow: One-Step Nonparallel Voice Conversion with Mean Flows
语音转换 | 7.0/10
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MELA-TTS: Joint Transformer-Diffusion Model with Representation Alignment for Speech Synthesis
语音合成 | 7.0/10
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MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large Audio-Language Model
语音情感识别 | 8.0/10
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Mispronunciation Detection and Diagnosis Without Model Training: A Retrieval-Based Approach
语音评估 | 8.0/10