TY - JOUR
T1 - A pattern recognition approach to signal to noise ratio estimation of speech
AU - Awolumate, Peter Adeyemi
AU - Rudy, Mitchell
AU - Ramachandran, Ravi P.
AU - Bouaynaya, Nidhal Carla
AU - Dahm, Kevin D.
AU - Nazari, Rouzbeh
AU - Thayasivam, Umashanger
N1 - Publisher Copyright:
© American Society for Engineering Education, 2017.
PY - 2017/6/24
Y1 - 2017/6/24
N2 - A blind approach for estimating the signal to noise ratio (SNR) of a speech signal corrupted by additive noise has been proposed. The method is based on a pattern recognition paradigm using various linear predictive based features, a vector quantizer classifier and estimation combination. Blind SNR estimation is very useful in biometric speaker identification systems in which a confidence metric is determined along with the speaker identity. It is also highly useful as a pre-processing step in speech and speaker recognition systems so that a proper degree of enhancement can be applied to augment system performance. This paper is a work in progress depicting the investigation conducted by two undergraduate students pertaining to (1) further research in SNR estimation and (2) the preparation of a laboratory manual to be used in an undergraduate class.
AB - A blind approach for estimating the signal to noise ratio (SNR) of a speech signal corrupted by additive noise has been proposed. The method is based on a pattern recognition paradigm using various linear predictive based features, a vector quantizer classifier and estimation combination. Blind SNR estimation is very useful in biometric speaker identification systems in which a confidence metric is determined along with the speaker identity. It is also highly useful as a pre-processing step in speech and speaker recognition systems so that a proper degree of enhancement can be applied to augment system performance. This paper is a work in progress depicting the investigation conducted by two undergraduate students pertaining to (1) further research in SNR estimation and (2) the preparation of a laboratory manual to be used in an undergraduate class.
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M3 - Conference article
AN - SCOPUS:85030566155
SN - 2153-5965
VL - 2017-June
JO - ASEE Annual Conference and Exposition, Conference Proceedings
JF - ASEE Annual Conference and Exposition, Conference Proceedings
T2 - 124th ASEE Annual Conference and Exposition
Y2 - 25 June 2017 through 28 June 2017
ER -