Downloads: 128
M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 6 Issue 5, May 2017
Global SNR Estimation of Speech Signals
Sreelakshmi M.S. [2] | Ann Nita Netto [4]
Abstract: Speech processing deals with the study of speech signals and the processing methods of these signals. The performance of these speech signals gets reduced due to several environmental conditions. The estimation of signal-to-noise ratio (SNR) gives an idea about the amount of noise present in the original signal. SNR compares the level of the data signal to the level of background noise. A novel method based on certain features of the speech signal is used for estimating the SNR. From the features a regression model is build to estimate SNR. Mel frequency cepstrum coefficients (MFCC) feature extraction technique is used for the effective removal of noise from the real-time speech signal.
Keywords: Speech processing, MFCC, Signal-to-noise ratio, DNN
Edition: Volume 6 Issue 5, May 2017,
Pages: 706 - 708
Similar Articles with Keyword 'Speech processing'
Downloads: 108
M.Tech / M.E / PhD Thesis, Electronics & Communication Engineering, India, Volume 4 Issue 5, May 2015
Pages: 2764 - 2766HMM Based Distributed Speech Processing Distributed Speech Recognition
Gauri A. Deshpande [2] | Pallavi S. Deshpande [2]
Downloads: 113
M.Tech / M.E / PhD Thesis, Electronics & Communication Engineering, India, Volume 3 Issue 10, October 2014
Pages: 1643 - 1646ARM Based Eyes-Free Interaction Model for Mobile Reading Devices
Valluru Vinod Kumar Reddy | K. Naganarsaiah Goud