A Cross-Entropy-Guided (CEG) Measure for Speech Enhancement Front-End Assessing Performances of Back-End Automatic Speech Recognition

2019 ◽  
Author(s):  
Li Chai ◽  
Jun Du ◽  
Chin-Hui Lee
Keyword(s):  
Speech Recognition ◽  
Speech Enhancement ◽  
Automatic Speech Recognition ◽  
Cross Entropy ◽  
Front End

scholarly journals Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation

2020 ◽  
Author(s):  
Hyeongju Kim ◽  
Hyeonseung Lee ◽  
Woo Hyun Kang ◽  
Hyung Yong Kim ◽  
Nam Soo Kim
Keyword(s):  
Speech Recognition ◽  
Density Estimation ◽  
Speech Enhancement ◽  
Automatic Speech Recognition ◽  
Optimization Techniques ◽  
Data Simulation ◽  
Noisy Speech ◽  
Front End ◽  
Novel Approach ◽  
Parallel Data

For multi-channel speech recognition, speech enhancement techniques such as denoising or dereverberation are conventionally applied as a front-end processor. Deep learning-based front-ends using such techniques require aligned clean and noisy speech pairs which are generally obtained via data simulation. Recently, several joint optimization techniques have been proposed to train the front-end without parallel data within an end-to-end automatic speech recognition (ASR) scheme. However, the ASR objective is sub-optimal and insufficient for fully training the front-end, which still leaves room for improvement. In this paper, we propose a novel approach which incorporates flow-based density estimation for the robust front-end using non-parallel clean and noisy speech. Experimental results on the CHiME-4 dataset show that the proposed method outperforms the conventional techniques where the front-end is trained only with ASR objective.

scholarly journals Auditory-Inspired Morphological Processing of Speech Spectrograms: Applications in Automatic Speech Recognition and Speech Enhancement

2012 ◽  
Vol 5 (4) ◽  
pp. 426-441 ◽  
Author(s):  
Joyner Cadore ◽  
Francisco J. Valverde-Albacete ◽  
Ascensión Gallardo-Antolín ◽  
Carmen Peláez-Moreno
Keyword(s):  
Speech Recognition ◽  
Speech Enhancement ◽  
Automatic Speech Recognition ◽  
Morphological Processing

scholarly journals Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition

2015 ◽  
Vol 23 (11) ◽  
pp. 1788-1799 ◽  
Author(s):  
Deepak Baby ◽  
Tuomas Virtanen ◽  
Jort F. Gemmeke ◽  
Hugo Van hamme
Keyword(s):  
Speech Recognition ◽  
Speech Enhancement ◽  
Automatic Speech Recognition
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