论文解读
MELA-TTS: Joint Transformer-Diffusion Model with Representation Alignment for Speech Synthesis
语音合成 | 7.0/10
端到端
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Mixture of Experts for Recognizing Depression from Interview and Reading Tasks
语音生物标志物 | 6.0/10
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MSANET: Multi-Scale Semantic Aggregation Network for Brain-Assisted Speech Enhancement in Multi-Speaker Conditions
语音增强 | 7.5/10
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Musicdetr: A Position-Aware Spectral Note Detection Model for Singing Transcription
歌唱语音转录 | 8.5/10
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Peeking Into the Future for Contextual Biasing
语音识别 | 7.0/10
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Polynomial Mixing for Efficient Self-Supervised Speech Encoders
语音识别 | 8.0/10
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Purification Before Fusion: Toward Mask-Free Speech Enhancement for Robust Audio-Visual Speech Recognition
语音识别 | 7.5/10
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QFOCUS: Controllable Synthesis for Automated Speech Stress Editing to Deliver Human-Like Emphatic Intent
语音合成 | 7.5/10
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Revisiting Direct Speech-to-Text Translation with Speech LLMS: Better Scaling than Cot Prompting?
语音翻译 | 7.5/10
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RLBR: Reinforcement Learning with Biasing Rewards for Contextual Speech Large Language Models
语音识别 | 8.0/10
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SAASDNet: An EEG-Based Streaming Auditory Attention Switch Decoding Network for Self-Initiated Attention Switching in Mixed Speech
脑机接口 | 8.0/10
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Scaling Multi-Talker ASR with Speaker-Agnostic Activity Streams
语音识别 | 8.5/10
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Semantic Anchor Transfer from Short to Long Speech in a Distillation-Based Summarization Framework
语音摘要 | 7.5/10
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Session-Level Spoken Language Assessment with A Multimodal Foundation Model Via Multi-Target Learning
语音评估 | 7.5/10
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SpatialNet-Echo: Real-Time Acoustic Echo Cancellation via Integrated Narrow-Band and Cross-Band Processing
语音增强 | 7.5/10
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Streaming Speech Recognition with Decoder-Only Large Language Models and Latency Optimization
语音识别 | 7.0/10
论文解读
StreamMark: A Deep Learning-Based Semi-Fragile Audio Watermarking for Proactive Deepfake Detection
音频深度伪造检测 | 8.0/10
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Sunac: Source-Aware Unified Neural Audio Codec
音频生成 | 7.5/10
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T-Mimi: A Transformer-Based Mimi Decoder for Real-Time On-Phone TTS
语音合成 | 7.0/10
论文解读
Task-Oriented Sound Privacy Preservation for Sound Event Detection Via End-to-End Adversarial Multi-Task Learning
音频事件检测 | 7.5/10