6 accepted papers
Diffusion policies excel at robotic manipulation by naturally modeling multimodal action distributions in high-dimensional spaces. Nevertheless, diffusion policies suffer from diffusion representation collapse: semantically similar observations are mapped to indistinguishable features, ultimately im
Symbolic music generation involves using symbolic encoding to represent music pieces as token sequences and using neural sequence models to create music by generating sequences of tokens. Symbolic encodings are primarily categorized into two types: independent word encoding and compound word encodin…
Sleep apnea is a common sleep disorder that, if untreated, can lead to serious health issues. Snoring is a typical symptom of sleep apnea and can be utilized to develop a noncontact automatic detection method for sleep apnea severity classification (SASC). However, due to patient heterogeneity, the…
In real-world scenarios, accent variations often reduce Automatic Speech Recognition (ASR) accuracy. Addressing this typically involves a multi-task ASR and Accent Recognition (ASR-AR) framework, but there is limited research on optimizing task-specific feature extraction and enhancing ASR with AR i…
During communication, volume changes, noise, and reverberation can disturb speech signals, significantly affecting the quality and intelligibility of speech. In the context of the ICASSP 2023 Signal Processing Grand Challenge, the first Speech Signal Improvement Grand Challenge (SIG) is organized to…
In recent years, deep learning-based approaches have significantly improved the performance of single-channel speech enhancement. However, due to the limitation of training data and computational complexity, real-time enhancement of full-band (48 kHz) speech signals is still very challenging. Becaus…