2 papers
cs.SD2024
U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation
Shaoxiang Dang, Tetsuya Matsumoto, Yoshinori Takeuchi +1
The topic of speech separation involves separating mixed speech with multiple overlapping speakers into several streams, with each stream containing speech from only one speaker. M…
cs.SD2024
Developing vocal system impaired patient-aimed voice quality assessment approach using ASR representation-included multiple features
Shaoxiang Dang, Tetsuya Matsumoto, Yoshinori Takeuchi +7
The potential of deep learning in clinical speech processing is immense, yet the hurdles of limited and imbalanced clinical data samples loom large. This article addresses these ch…