A Comparative Study of IBM and IRM Target Mask for Supervised Malay Speech Separation from Noisy Background

Author:

Jamal Norezmi,Fuad N.,Sha’abani MNAH.,Shanta Shahnoor

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

1. Deep neural network for supervised single-channel speech enhancement;Saleem;Archives of Acoustics,2019

2. An overview of noise-robust automatic speech recognition;Li;IEEE/ACM Transactions on Audio, Speech, and Language Processing,2014

3. Supervised speech separation based on deep learning: An overview;Wang;IEEE/ACM Transactions on Audio, Speech, and Language Processing,2018

4. On training targets for supervised speech separation;Wang;IEEE/ACM transactions on audio, speech, and language processing,2014

5. Gain-induced speech distortions and the absence of intelligibility benefit with existing noise-reduction algorithms;Kim;The Journal of the Acoustical Society of America,2011

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3. A T-F Masking based Monaural Speech Enhancement using U-Net Architecture;2023 International Conference on Electrical, Computer and Communication Engineering (ECCE);2023-02-23

4. Single-channel speech enhancement using improved progressive deep neural network and masking-based harmonic regeneration;Speech Communication;2022-11

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