论文解读
wav2VOT: Automatic estimation of voice onset time, closure duration, and burst realisation with wav2vec2
自监督学习 | 8.5/10
自监督学习
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A Survey of Automated Presentation Coaching: Systems, Methods, and Open Challenges
语音识别 | 5.4/10
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Advancing Speaker-Based Vocal Effort Classification with WavLM and Data Augmentation in Naturalistic Non-Calibrated Speech Recordings
语音增强 | 6.8/10
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Do Speech Emphasis Models Generalize across Languages and Emotions?
语音识别 | 7/10
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HybridCodec: Modeling Discrete and Continuous Representations for Efficient Speech Language Models
语音合成 | 6.5/10
每日研究速递
语音/音乐/音频论文速递 2026-06-29
共分析 16 篇语音/AI 论文
论文解读
wav2tok 2.0: Scalable Audio Tokenization Maintaining Explicit Pairwise Token Alignment for Efficient Audio Retrieval
语音检索 | 6.4/10
论文解读
End-to-End Voice Intent Recognition for Spontaneous Human-Drone Interaction with Naive Users
端到端 | 7/10
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Frequency-Aware Self-Supervised Music Representation Learning
音乐信息检索 | 6.8/10
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Joint Residual Reweighting for Classifier Free Guidance in Flow-Matching Zero-Shot TTS
语音合成 | 7.5/10
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MJEPA: A Simple and Scalable Joint-Embedding Predictive Architecture for Audio-Visual Learning
自监督学习 | 7.4/10
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Phoneme-Level Mispronunciation Screening in Polish-Speaking Children with an Explainable Assistant
语音识别 | 6.2/10
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Supervised Post-training of Speech Foundation Models for Robust Adaptation in Speech Deepfake Detection
语音伪造检测 | 7.6/10
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What Does a Pathological Speech Assessment Model Know about Acoustic Features? A Case Study on Oral and Oropharyngeal Cancer Patients
语音可懂度评估 | 6.4/10
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A Fusion-Aware Two-Stage Framework for Mispronunciation Detection and Diagnosis in Low-Resource Modern Standard Arabic
语音识别 | 7/10
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Audio--Image Alignment as a Continued-Pretraining Stage Improves Low-Resource ASR
语音识别 | 6.2/10
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Autoencoder based optimized SSL representations: Complexity Minimization and improved Dysarthric ASR
语音识别 | 5.5/10
论文解读
Acoustic Landmark Detector based on Conformer and HuBERT
语音识别 | 5.5/10
论文解读
Backdoor Attacks on Speech Emotion Recognition via TTS-Generated Poisoning
语音情感识别 | 7/10
论文解读
Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework
语音增强 | 7.5/10