论文解读
Beyond Waveform Robustness: Robust Feature-Vocoder Adversarial Attacks on Automatic Speech Recognition
语音识别 | 7.5/10
自监督学习
论文解读
CoSTA: Cognitive-State-Conditioned TTS Data Augmentation Using ASR Transcripts for Alzheimer's Disease Detection
语音合成 | 6.5/10
论文解读
Do speech foundation models perceive speaker similarity as humans do?
说话人识别 | 6.3/10
论文解读
Domain-Aware Mispronunciation Detection and Diagnosis Using Language-Specific Statistical Graphs
图神经网络 | 6.6/10
论文解读
F3-Tokenizer: Taming Audio Autoencoder Latents for Understanding and Generation
语音合成 | 7.2/10
论文解读
M2S-AVSR: Modality-aware Multi-view Self-supervised Representation for Robust Audio-Visual Speech Recognition
语音识别 | 9/10
论文解读
ProSarc: Prosody-Aware Sarcasm Recognition Framework via Temporal Prosodic Incongruity
语音情感识别 | 7.5/10
论文解读
USAD 2.0: Scaling Representation Distillation for Universal Audio Understanding
音频编码 | 9/10
论文解读
Channel-Oriented Design for EEG-to-Music Reconstruction
音乐生成 | 7.7/10
论文解读
DetectZoo: A Unified Toolkit for AI-Generated Content Detection Across Text, Audio, and Image Modalities
多模态模型 | 9.3/10
论文解读
SURF: Separation via Unsupervised Remixing Flow
无监督学习 | 6.4/10
论文解读
EntangleCodec: A Unified Discrete Audio Tokenizer via Semantic-Acoustic Entanglement
语音合成 | 8.6/10
论文解读
MoDAl: Self-Supervised Neural Modality Discovery via Decorrelation for Speech Neuroprosthesis
自监督学习 | 6.6/10
论文解读
SiamCTC: Learning Speech Representations through Monotonic Temporal Alignment
语音识别 | 7/10
论文解读
SpeakerCard-1M: An Evidence-Grounded Speaker Card Corpus for In-the-Wild Speaker Verification
说话人验证 | 7.4/10
论文解读
Stable Hybrid Cross-Attention Fusion for Audio-Visual Event Recognition
自监督学习 | 6.7/10
论文解读
A Lightweight Slot-Attention Framework for Multi-Instrument Multi-Pitch Estimation
音乐信息检索 | 6.7/10
论文解读
Context-aware child-directed speech detection from long-form recordings
自监督学习 | 8.5/10
论文解读
Echo: A Joint-Embedding Predictive Architecture for Speaker Diarization and Speech Recognition in a Shared Latent Space
语音识别 | 7/10
论文解读
Privacy-preserving Prosody Representation Learning
自监督学习 | 4.9/10