Radar speech signal enhancement based on modified Compressed Sensing methods

Although traditional algorithms can led to suppressed voice in the noise, but the distortion of the voice is inevitable. An introduction is made as to the speech signal enhancement with an improved threshold method. Compared MATLAB experimental simulation on simulated platform with traditional enhanced algorithm, this paper aims to verify this method can effectively remove the noise in the signal, enhanced voice quality, improve speech intelligibility, and achieve the effect of the enhanced speech signal.

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Application of Non-uniform Sampling in Compressed Sensing for Speech Signal

Intelligent Computing Theories and Application - Lecture Notes in Computer Science ◽

10.1007/978-3-319-95930-6_38 ◽

2018 ◽

pp. 413-424

Author(s):

Changqing Zhang ◽

Gang Min ◽

Huan Ma ◽

Xian Li

Keyword(s):

Compressed Sensing ◽

Speech Signal ◽

Uniform Sampling ◽

Non Uniform Sampling

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Deep Convolutional Neural Network based Speech Signal Enhancement using Extensive Speech Features

International Journal of Computational Methods ◽

10.1142/s0219876221420056 ◽

2021 ◽

Author(s):

Anil Garg ◽

O. P. Sahu

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Speech Signal ◽

Signal Enhancement ◽

Deep Convolutional Neural Network ◽

Speech Features

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Application of auditory perception in compressed sensing for speech signal

2016 6th International Conference on Electronics Information and Emergency Communication (ICEIEC) ◽

10.1109/iceiec.2016.7589686 ◽

2016 ◽

Author(s):

Zhang Chang-qing ◽

Chen Yan-pu ◽

Tan Wei

Keyword(s):

Compressed Sensing ◽

Speech Signal ◽

Auditory Perception

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Speech Signal Enhancement Based on MAP Algorithm in the ICA Space

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2007.910555 ◽

2008 ◽

Vol 56 (5) ◽

pp. 1812-1820 ◽

Cited By ~ 29

Author(s):

Xin Zou ◽

Peter Jancovic ◽

Ju Liu ◽

MÜnevver Kokuer

Keyword(s):

Speech Signal ◽

Signal Enhancement ◽

Map Algorithm

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Frame-Based Adaptive Compressed Sensing of Speech Signal

2011 7th International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2011.6039957 ◽

2011 ◽

Cited By ~ 1

Author(s):

Qian Xu ◽

Yunyun Ji

Keyword(s):

Compressed Sensing ◽

Speech Signal

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A distributed compressed sensing approach for speech signal denoising

Journal of Electronics (China) ◽

10.1007/s11767-012-0717-y ◽

2011 ◽

Vol 28 (4-6) ◽

pp. 509-517 ◽

Cited By ~ 2

Author(s):

Yunyun Ji ◽

Zhen Yang

Keyword(s):

Compressed Sensing ◽

Speech Signal ◽

Signal Denoising ◽

Distributed Compressed Sensing

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Reduction of noise for speech signal enhancement using Spectral Subtraction method

2016 International Conference on Information Science (ICIS) ◽

10.1109/infosci.2016.7845298 ◽

2016 ◽

Author(s):

Jennifer C Saldanha ◽

Shruthi O R

Keyword(s):

Speech Signal ◽

Signal Enhancement ◽

Spectral Subtraction ◽

Subtraction Method ◽

Spectral Subtraction Method

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A Study on Effectiveness of Deep Neural Networks for Speech Signal Enhancement in Comparison with Wiener Filtering Technique

10.36227/techrxiv.14660199 ◽

2021 ◽

Author(s):

Vijaya Kumar Padarti ◽

Gnana Sai Polavarapu ◽

Madhurima Madiraju ◽

Naga Sai Nuthalapati ◽

Vinay Babu Thota ◽

...

Keyword(s):

Neural Network ◽

Speech Signal ◽

Deep Neural Networks ◽

Network Models ◽

Signal Enhancement ◽

Wiener Filtering ◽

Quality Enhancement ◽

Neural Network Models ◽

Filtering Technique ◽

Speech Denoising

We have compared two Neural network models with Wiener filtering technique for Speech signal enhancement. Our paper intends to suggest the best method suitable for speech denoising and quality enhancement. We have utilized MATLAB software with most advanced toolboxes for building the models. For comparing our models, we computed PSNR and SNR values.

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