Integrating Denoising Autoencoder and Vector Taylor Series with Auditory Masking for Speech Recognition in Noisy Conditions

2018 ◽  
Author(s):  
A. Biswajit Das ◽  
Ashish Panda
Keyword(s):  
Speech Recognition ◽  
Taylor Series ◽  
Auditory Masking ◽  
Denoising Autoencoder ◽  
Noisy Conditions

Reverberant speech recognition based on denoising autoencoder

2013 ◽  
Author(s):  
Takaaki Ishii ◽  
Hiroki Komiyama ◽  
Takahiro Shinozaki ◽  
Yasuo Horiuchi ◽  
Shingo Kuroiwa
Keyword(s):  
Speech Recognition ◽  
Denoising Autoencoder ◽  
Reverberant Speech ◽  
Reverberant Speech Recognition

An Improved Spectral Subtraction Algorithm Study Based on Voice Human-Computer Interaction in Cockpit

2010 ◽  
Vol 139-141 ◽  
pp. 2154-2157
Author(s):  
Ji Xiang Lu ◽  
Ping Wang ◽  
Long Yi
Keyword(s):  
Speech Recognition ◽  
Human Computer Interaction ◽  
Speech Enhancement ◽  
Spectral Subtraction ◽  
Masking Effect ◽  
Auditory Masking ◽  
Speech Output ◽  
Voice Interaction ◽  
Speech Information ◽  
The Voice

The voice interaction in cockpit mainly includes speech recognition, enhancement and synthesis. This interaction transfers the speech information to the corresponding orders to make machines in cockpit work unmistaken, also feedback the execution results to users by speech output devices or some other ways. The speech enhancement technology is studied in this paper, aiming at the Voice Interactive. We propose an improved spectral subtraction (SS) algorithm based on auditory masking effect, by using two steps SS. The simulated results based on the segment SNR compared to the traditional SS show the effectiveness and superiority of the improved algorithm.

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