论文解读
"This Wasn't Made for Me": Recentering User Experience and Emotional Impact in the Evaluation of ASR Bias
语音识别 | 7.0/10
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ATRIE: Adaptive Tuning for Robust Inference and Emotion in Persona-Driven Speech Synthesis
语音合成 | 7.0/10
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AUDITA: A New Dataset to Audit Humans vs. AI Skill at Audio QA
音频问答 | 6.5/10
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Beyond Rules: Towards Basso Continuo Personal Style Identification
音乐理解 | 7.0/10
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DiariZen Explained: A Tutorial for the Open Source State-of-the-Art Speaker Diarization Pipeline
说话人分离 | 6.5/10
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Dilated CNNs for Periodic Signal Processing: A Low-Complexity Approach
语音增强 | 6.5/10
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Do LLM Decoders Listen Fairly? Benchmarking How Language Model Priors Shape Bias in Speech Recognition
语音识别 | 7.5/10
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Evaluation of Automatic Speech Recognition Using Generative Large Language Models
语音识别 | 7.5/10
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Full-Duplex Interaction in Spoken Dialogue Systems: A Comprehensive Study from the ICASSP 2026 HumDial Challenge
语音对话系统 | 6.5/10
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Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech
语音翻译 | 7.5/10
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Low-Rank Adaptation Redux for Large Models
大语言模型 | 5.5/10
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MAGIC-TTS: Fine-Grained Controllable Speech Synthesis with Explicit Local Duration and Pause Control
语音合成 | 7.5/10
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Materialistic RIR: Material Conditioned Realistic RIR Generation
音频生成 | 7.5/10
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MER 2026: From Discriminative Emotion Recognition to Generative Emotion Understanding
语音情感识别 | 6.0/10
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Misinformation Span Detection in Videos via Audio Transcripts
音频安全 | 7.5/10
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Phonological Subspace Collapse Is Aetiology-Specific and Cross-Lingually Stable: Evidence from 3,374 Speakers
Phonological Subspace Collapse Is Aetiology-Specific and Cross-Lingually Stable: Evidence from 3,374 Speakers
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Preferences of a Voice-First Nation: Large-Scale Pairwise Evaluation and Preference Analysis for TTS in Indian Languages
语音合成 | 7.5/10
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Prosody as Supervision: Bridging the Non-Verbal--Verbal for Multilingual Speech Emotion Recognition
语音情感识别 | 8.0/10
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Sema: Semantic Transport for Real-Time Multimodal Agents
实时处理 | 6.5/10
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Time vs. Layer: Locating Predictive Cues for Dysarthric Speech Descriptors in wav2vec 2.0
语音生物标志物 | 7.0/10