Construction of a Noise-Robust Body-Conducted Speech Recognition System

Research of a Non-Specific Person Noise-Robust Speech Recognition System

2009 5th International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2009.5301587 ◽

2009 ◽

Author(s):

Jing Bai ◽

Xueying Zhang

Keyword(s):

Speech Recognition ◽

Recognition System ◽

Robust Speech Recognition ◽

Speech Recognition System ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Noise-robust algorithm of speech features extraction for automatic speech recognition system

2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM) ◽

10.1109/scm.2016.7519729 ◽

2016 ◽

Author(s):

A. N. Yakhnev ◽

A. S. Pisarev

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Recognition System ◽

Features Extraction ◽

Speech Recognition System ◽

Automatic Speech Recognition System ◽

Robust Algorithm ◽

Speech Features ◽

Noise Robust

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Noise robust chinese speech recognition system for isolate words

NSIP 2005. Abstracts. IEEE-Eurasip Nonlinear Signal and Image Processing, 2005. ◽

10.1109/nsip.2005.1502285 ◽

2005 ◽

Author(s):

Xin Xu ◽

N. Hayasaka ◽

Qi Zhu ◽

Y. Miyanaga

Keyword(s):

Speech Recognition ◽

Recognition System ◽

Speech Recognition System ◽

Noise Robust

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A noise-robust speech recognition system based on ZCPA features and support vector machine

2009 ISECS International Colloquium on Computing, Communication, Control, and Management ◽

10.1109/cccm.2009.5267999 ◽

2009 ◽

Cited By ~ 2

Author(s):

Jing Bai ◽

Xueying Zhang

Keyword(s):

Support Vector Machine ◽

Speech Recognition ◽

Recognition System ◽

Support Vector ◽

Robust Speech Recognition ◽

Speech Recognition System ◽

Noise Robust Speech Recognition ◽

Noise Robust

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An efficient noise-robust automatic speech recognition system using artificial neural networks

2016 International Conference on Communication and Signal Processing (ICCSP) ◽

10.1109/iccsp.2016.7754495 ◽

2016 ◽

Cited By ~ 2

Author(s):

Santosh Gupta ◽

Kishor M. Bhurchandi ◽

Avinash G. Keskar

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Speech Recognition ◽

Automatic Speech Recognition ◽

Recognition System ◽

Speech Recognition System ◽

Automatic Speech Recognition System ◽

Artificial Neural ◽

Noise Robust

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A Novel Noise-Robust Speech Recognition System Based on Adaptively Enhanced Bark Wavelet MFCC

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2009.432 ◽

2009 ◽

Cited By ~ 3

Author(s):

Jie Zhang ◽

Guo-liang Li ◽

Yu-zheng Zheng ◽

Xiao-ying Liu

Keyword(s):

Speech Recognition ◽

Recognition System ◽

Robust Speech Recognition ◽

Speech Recognition System ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Noise robust speech recognition system using multimodal audio-visual approach using different deep learning classification techniques

International Journal of Advanced Computer Research ◽

10.19101/ijacr.2019.940134 ◽

2020 ◽

Vol 10 (47) ◽

pp. 51-71

Author(s):

Eslam E. El Maghraby ◽

Amr M. Gody

Keyword(s):

Deep Learning ◽

Speech Recognition ◽

Recognition System ◽

Robust Speech Recognition ◽

Speech Recognition System ◽

Classification Techniques ◽

Visual Approach ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Constructing a Noise-Robust Speech Recognition System using Acoustic and Visual Information

Journal of Control Automation and Systems Engineering ◽

10.5302/j.icros.2007.13.8.719 ◽

2007 ◽

Vol 13 (8) ◽

pp. 719-725

Keyword(s):

Speech Recognition ◽

Visual Information ◽

Recognition System ◽

Robust Speech Recognition ◽

Speech Recognition System ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Feature-based noise robust speech recognition on an Indonesian language automatic speech recognition system

2014 International Conference on Electrical Engineering and Computer Science (ICEECS) ◽

10.1109/iceecs.2014.7045217 ◽

2014 ◽

Author(s):

Cil Hardianto Satriawan ◽

Dessi Puji Lestari

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Recognition System ◽

Robust Speech Recognition ◽

Speech Recognition System ◽

Automatic Speech Recognition System ◽

Feature Based ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Improved noise robust automatic speech recognition system with spectral subtraction and minimum statistics algorithm implemented in FPGA

TENCON 2012 IEEE Region 10 Conference ◽

10.1109/tencon.2012.6412318 ◽

2012 ◽

Cited By ~ 1

Author(s):

John William Orillo ◽

Roderick Yap ◽

Edwin Sybingco

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Recognition System ◽

Spectral Subtraction ◽

Speech Recognition System ◽

Automatic Speech Recognition System ◽

Noise Robust ◽

Minimum Statistics

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