Single Channel Speech Dereverberation using NMFD
Published:Dec 29, 2025 09:14
•1 min read
•ArXiv
Analysis
This paper explores dereverberation techniques for speech signals, focusing on Non-negative Matrix Factor Deconvolution (NMFD) and its variations. It aims to improve the magnitude spectrogram of reverberant speech to remove reverberation effects. The study proposes and compares different NMFD-based approaches, including a novel method applied to the activation matrix. The paper's significance lies in its investigation of NMFD for speech dereverberation and its comparative analysis using objective metrics like PESQ and Cepstral Distortion. The authors acknowledge that while they qualitatively validated existing techniques, they couldn't replicate exact results, and the novel approach showed inconsistent improvement.
Key Takeaways
- •Investigates NMFD and its variations for single-channel speech dereverberation.
- •Proposes a novel NMFD approach applied to the activation matrix.
- •Compares different techniques using PESQ and Cepstral Distortion.
- •Highlights the challenges in replicating exact results and the inconsistency of the novel approach's improvements.
Reference
“The novel approach, as it is suggested, provides improvement in quantitative metrics, but is not consistent.”