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InstructAudio: Unified Speech and Music Generation with Natural Language Instruction
语音合成 | 7.5/10
Posts
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Instrument Generation Through Distributional Flow Matching and Test-Time Search
音乐生成 | 7.0/10
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Int-MeanFlow: Few-Step Speech Generation with Integral Velocity Distillation
语音合成 | 7.5/10
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Integrating Speaker Embeddings and LLM-Derived Semantic Representations for Streaming Speaker Diarization
说话人分离 | 6.5/10
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Inter-Dialog Contrastive Learning for Multimodal Emotion Recognition in Conversations
语音情感识别 | 7.5/10
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Interpretable Music Harmonic Analysis Through Multilinear Mixture of Experts
音乐理解 | 7.5/10
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Interval-Aware Retrieval Framework For Speech-Based Automatic Alzheimer’s Detection
语音生物标志物 | 8.5/10
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Inverse-Hessian Regularization for Continual Learning in ASR
语音识别 | 7.5/10
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Investigating Modality Contribution in Audio LLMs for Music
模型评估 | 6.5/10
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Investigating The Effect Of Sentence-Level Syntactic Structure On Information Loss In The Human Auditory System
语音识别 | 7.0/10
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Is Phase Really Needed for Weakly-Supervised Dereverberation?
语音增强 | 6.0/10
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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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Joint Autoregressive Modeling of Multi-Talker Overlapped Speech Recognition and Translation
语音识别 语音翻译 | 7.0/10
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Joint Deep Secondary Path Estimation and Adaptive Control for Active Noise Cancellation
语音增强 | 7.5/10
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Joint Estimation of Piano Dynamics and Metrical Structure with a Multi-Task Multi-Scale Network
音乐理解 | 7.5/10
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Joint Estimation of Primary and Secondary Paths for Personalized Hearable Applications
主动降噪 | 7.5/10
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Joint Multichannel Acoustic Feedback Cancellation and Speaker Extraction via Kalman Filter and Deep Non-Linear Spatial Filter
语音增强 | 7.0/10
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K-Function: Joint Pronunciation Transcription and Feedback for Evaluating Kids Language Function
语音识别 | 7.5/10
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保留高维 XLS-R 特征时单层 KAN 能否以更少参数替代复杂后端
📄 保留高维 XLS-R 特征时单层 KAN 能否以更少参数替代复杂后端 会议论文 ID：conference:icassp:2026:icassp-arnumber:11460320
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Keeping Models Listening: Segment- and time-aware attention rescaling at decoding time
音频问答 | 7.5/10