4 accepted papers
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…
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 denoising and de-reverberation tasks, the dominant methods are complex spectral masking and complex spectral mapping. To combine advantages and improve speech enhancement performance, we propose a two-stage UNet (TSUNet) to estimate complex spectral masking and complex spectral mapping. We use a…
Obstructive sleep apnea (OSA) is a common sleep disorder. The diagnosis of OSA based on snoring is low-cost, convenient and non-invasive. In this study, we place a microphone under the patient’s bed and combined with full-night polysomnography to record audio signals. Five machine learning models an…