论文解读
ARCHI-TTS: A Flow-Matching-Based Text-to-Speech Model with Self-Supervised Semantic Aligner and Accelerated Inference
语音合成 | 8.0/10
自监督学习
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Assessing the Impact of Speaker Identity in Speech Spoofing Detection
音频深度伪造检测 | 8.0/10
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Attention-Based Encoder-Decoder Target-Speaker Voice Activity Detection for Robust Speaker Diarization
说话人分离 | 8.0/10
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Automatic Music Sample Identification with Multi-Track Contrastive Learning
音频检索 | 7.5/10
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AUV: Teaching Audio Universal Vector Quantization with Single Nested Codebook
音频生成 | 8.0/10
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Auxiliary Multi-Label Training For Improving the Robustness of Audio Deepfake Detection on AI-Processed Data
音频深度伪造检测 | 6.5/10
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B-GRPO: Unsupervised Speech Emotion Recognition Based on Batched-Group Relative Policy Optimization
语音情感识别 | 6.5/10
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BEST-RQ-based Self-Supervised Learning for Whisper Domain Adaptation
语音识别 | 7.5/10
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BEST-STD 2.0: Balanced and Efficient Speech Tokenizer for Spoken Term Detection
音频检索 | 7.5/10
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BiRQ: Bi-Level Self-Labeling Random Quantization for Self-Supervised Speech Recognition
语音识别 | 8.0/10
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Combining SSL Speech Features, Contextual Transformers and Mamba Models for Realistic Audio Spoofing Detection
音频深度伪造检测 | 7.5/10
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Connecting Layer-Wise Representation of Wavlm with Spectro-Temporal Modulation on Speaker Verification
说话人验证 | 6.0/10
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Content-Preserving Speech Representation Learning Via Adaptive Segment-Level Alignment
语音识别 | 7.5/10
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Cross-Architecture Knowledge Distillation of WavLM for Lightweight Speaker Verification
说话人验证 | 8.0/10
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CTC-DID: CTC-Based Arabic Dialect Identification for Streaming Applications
语音识别 | 6.5/10
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Direct Transfer of Prosody in Speech-to-speech Translation using Disentangled Speech Tokens
语音翻译 | 7.5/10
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Discrete-Continuous Fusion With Adaptive Hierarchical Features For Audio Deepfake Detection
音频深度伪造检测 | 8.0/10
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Do Foundational Audio Encoders Understand Music Structure?
音乐信息检索 | 7.0/10
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Domain-Invariant Representation Learning of Bird Sounds
生物声学 | 6.5/10
论文解读
Dynamic Spectrogram Analysis with Local-Aware Graph Networks for Audio Anti-Spoofing
音频深度伪造检测 | 8.5/10