Speech Enhancement Techniques and Their Comparison
GUI based Performance Analysis of Speech Enhancement Techniques
Mr. Shishir Banchhor Mr. Jimish Dodia Ms. Darshana Gowda Ms. Pooja Jagtap
Student, B.E. (EXTC) Student, B.E. (EXTC) Student, B.E. (EXTC) Student, B.E. (EXTC)
K.J. Somaiya I.E.I.T K. J. Somaiya I.E.I.T K.J. Somaiya I.E.I.T K.J. Somaiya I.E.I.T
Sion, Mumbai-22 Sion, Mumbai-22 Sion, Mumbai-22 Sion, Mumbai-22 skb.shishir@gmail.com jimishdodia@gmail.com gowda.darshana@gmail.com poojajagtap18@gmail.com
ABSTRACT
The speech, being a fundamental way of communication, has been embedded in various applications. The central methods for enhancing speech are removal of background noise, echo suppression or artificially bringing certain frequencies into speech signal. In this project, an attempt has been made towards studying speech enhancement techniques like Spectral Subtraction, Minimum Mean Square Error (MMSE), Kalman and Wiener filter.
Based on our observations and analysis of various performance parameters, we conclude which of the methods is most suitable for speech enhancement. The implementation of the code is done using Graphic User Interface on MATLAB.
Keywords— Speech enhancement, FFT, Spectral subtraction, Kalman filter, Wiener filter, Performance parameters
I. INTRODUCTION
Speech is the fundamental and common medium, hence important for us, to communicate. In general, there exists a need for voice based communications,human-machine/machine-machine interfaces, and automatic speech recognition systems to increase the reliability of these systems in noisy environments. In many cases, these systems work well in nearly noise-free conditions, but their performance deteriorates rapidly in noisy conditions. Therefore, improvement in existing pre-processing algorithms or introducing entire new class of algorithm for speech enhancement is always the
Mr. Shishir Banchhor Mr. Jimish Dodia Ms. Darshana Gowda Ms. Pooja Jagtap
Student, B.E. (EXTC) Student, B.E. (EXTC) Student, B.E. (EXTC) Student, B.E. (EXTC)
K.J. Somaiya I.E.I.T K. J. Somaiya I.E.I.T K.J. Somaiya I.E.I.T K.J. Somaiya I.E.I.T
Sion, Mumbai-22 Sion, Mumbai-22 Sion, Mumbai-22 Sion, Mumbai-22 skb.shishir@gmail.com jimishdodia@gmail.com gowda.darshana@gmail.com poojajagtap18@gmail.com
ABSTRACT
The speech, being a fundamental way of communication, has been embedded in various applications. The central methods for enhancing speech are removal of background noise, echo suppression or artificially bringing certain frequencies into speech signal. In this project, an attempt has been made towards studying speech enhancement techniques like Spectral Subtraction, Minimum Mean Square Error (MMSE), Kalman and Wiener filter.
Based on our observations and analysis of various performance parameters, we conclude which of the methods is most suitable for speech enhancement. The implementation of the code is done using Graphic User Interface on MATLAB.
Keywords— Speech enhancement, FFT, Spectral subtraction, Kalman filter, Wiener filter, Performance parameters
I. INTRODUCTION
Speech is the fundamental and common medium, hence important for us, to communicate. In general, there exists a need for voice based communications,human-machine/machine-machine interfaces, and automatic speech recognition systems to increase the reliability of these systems in noisy environments. In many cases, these systems work well in nearly noise-free conditions, but their performance deteriorates rapidly in noisy conditions. Therefore, improvement in existing pre-processing algorithms or introducing entire new class of algorithm for speech enhancement is always the
References: [2] Recent Advancements in Speech Enhancement by Yariv Ephraimand Israel Cohen, March 9, 2004.