ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement

ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement

Machine learning-based supervised single-channel speech enhancement has achieved considerable research interest over conventional approaches. In this paper, an extended Restricted Boltzmann Machine (RBM) is proposed for the spectral masking-based noisy speech enhancement. In conventional RBM, the ac...

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Bibliographic Details
Main Authors: Muhammad Irfan Khattak, Nasir Saleem, Aamir Nawaz, Aftab Ahmed Almani, Farhana Umer, Elena Verdú
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2022-06-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
restricted boltzmann machine
spectral masking
speech enhancement
speech intelligibility
speech quality
supervised learning
machine learning
Online Access:https://www.ijimai.org/journal/bibcite/reference/3118

Internet

https://www.ijimai.org/journal/bibcite/reference/3118

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