论文解读
Leveraging Multiple Speech Enhancers for Non-Intrusive Intelligibility Prediction for Hearing-Impaired Listeners
模型评估 | 7.5/10
预训练
论文解读
Leveraging Segment-Level Speech Representations for LLM-Based Speech Recognition
语音识别 | 7.0/10
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Mispronunciation Detection and Diagnosis Without Model Training: A Retrieval-Based Approach
语音评估 | 8.0/10
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Mitigating Attention Sinks and Massive Activations in Audio-Visual Speech Recognition with LLMs
语音识别 | 7.0/10
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Mixture-of-Experts Based Soft-Label Learning for Multi-Label Speech Emotion Recognition
语音情感识别 | 7.5/10
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MMAudioSep: Taming Video-to-Audio Generative Model Towards Video/Text-Queried Sound Separation
语音分离 | 8.0/10
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Modeling Inter-Segment Relationships in Speech for Dementia Detection with Audio Spectrogram Transformers and Graph Attention Networks
语音生物标志物 | 7.0/10
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MSF-SER: Enriching Acoustic Modeling with Multi-Granularity Semantics for Speech Emotion Recognition
语音情感识别 | 7.5/10
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MTP-S2UT: Enhancing Speech-to-Speech Translation Quality with Multi-Token Prediction
语音翻译 | 8.5/10
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Multi-Channel Speech Enhancement for Cocktail Party Speech Emotion Recognition
语音情感识别 | 7.5/10
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Multi-Task Learning For Speech Quality Assessment Using ASR-Derived Entropy Features
语音质量评估 | 7.5/10
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Multilingual Supervised Pretraining with Lm-Assisted Decoding for Visual Speech Recognition
语音识别 | 6.5/10
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Multimodal Transformer with Multiperspective Training for Predicting Self-Expression Skills from Video Interview
多模态模型 | 7.0/10
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MuseTok: Symbolic Music Tokenization for Generation and Semantic Understanding
音乐生成 | 8.5/10
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Noise-Robust AV-ASR Using Visual Features both in the Whisper Encoder and Decoder
语音识别 | 8.0/10
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On deepfake voice detection - It’s all in the presentation
音频深度伪造检测 | 8.0/10
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Online Register For Dual-Mode Self-Supervised Speech Models: Mitigating the Lack of Future Context
语音识别 | 6.5/10
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PADAM: Perceptual Audio Defect Assessment Model
音频分类 | 7.0/10
论文解读
Probing the Hidden Talent of ASR foundation models for L2 English Oral Assessment
预训练 | 7.5/10
论文解读
Quality Assessment of Noisy and Enhanced Speech with Limited Data: UWB-NTIS System for Voicemos 2024
语音质量评估 | 7.0/10