• G AMJAD KHAN
• Dr K E SREENIVASA MURTHY

In this paper, we evaluate the performance of several objective measures in terms of predicting the quality of noisy speech enhanced by noise suppression algorithms. The objective measures considered a wide range of distortions introduced by four types of real-world noise at three signal-to-noise ratio levels by three classes of speech enhancement algorithms: optimally modified log spectral amplitude,Improved Minima controlled recursive averaging and sub band adaptive filtering algorithms. The objective quality ratings were obtained using the methodology designed to evaluate the quality of enhanced speech along three dimensions: signal distortion, noise distortion, and overall quality. This paper reports on the evaluation of correlations of several objective measures with these three subjective rating scales. Several new composite objective measures are also proposed by combining the individual objective measures using sub band adaptive filtering technique.

sub band adaptive filtering,speech enhancement .over all quality

"Performance Evaluation of Objective Quality Measures for Speech Enhancement", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.1-5, March-2019, Available :http://www.jetir.org/papers/JETIR1903101.pdf

"Performance Evaluation of Objective Quality Measures for Speech Enhancement", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp1-5, March-2019, Available at : http://www.jetir.org/papers/JETIR1903101.pdf