Model-based Techniques and Diffusion Models for Speech Dereverberation (2025)
Abstract / truncated to 115 words
Reverberation occurs in most of our environments and often degrades the intelligibility and quality of human speech, with an aggravated effect on hearing-impaired listeners. Meanwhile, the evolution of technologies for multimedia entertainment, communications and medical applications has led to a greater demand for improved sound quality. Therefore, many embedded devices now include a dereverberation algorithm, which aims to recover the anechoic component of speech. Dereverberation is an arduous task and an ill-posed inverse problem: even perfectly knowing the room acoustics does not guarantee to obtain a perfectly dereverberated signal. Furthermore, in most real-life cases, such knowledge is not available and therefore most dereverberation algorithms are blind, i.e. they must extract information from the reverberant speech ...
speech processing – speech enhancement – speech dereverberation – model-based learning – deep neural networks – deep learning – diffusion models – generative models
Information
- Author
- Lemercier, Jean-Marie
- Institution
- University of Hamburg
- Supervisors
- Publication Year
- 2025
- Upload Date
- April 30, 2025
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