Speech Processing with Adaptive Cascaded Median Based Noise Estimation

Name: Speech Processing with Adaptive Cascaded Median Based Noise Estimation
Brand: LAP Lambert Academic Publishing
SKU: 9783659926006
Price: 710 CZK
Availability: InStock

Autor: Sandesh Jain, Dr. Dhiraj Nitnaware

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

710 Kč

This book provides an extensive study of available literature on various filtering techniques used f...

Informace o knize

Autor

Sandesh Jain, Dr. Dhiraj Nitnaware

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2016

Stránek

EAN

9783659926006

Enbook ID

13926442

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

147

Rozměry

150 x 220 x 5

Kompletní popis

This book provides an extensive study of available literature on various filtering techniques used for speech enhancement. In this book, a new method is introduced for improvement of speech distorted by acoustic noise which is based on spectral subtraction technique. Here, noise estimation is done through a new proposed algorithm based on adaptive cascaded median filter. The developed model results in elimination of musical noise which is introduced by conventional cascaded median filter. This algorithm is tested on various noisy speech samples taken from NOIZEUS database sampled at 8 kHz and then processed using a hamming window of length 250 ms with an overlap size of 128 ms. Moreover, this algorithm is also capable of tackling the non-stationary nature of noise. Various listening tests were performed in order to judge the quality and intelligibility. For the performance analysis of the given model, the parameters selected are root mean square error (MSE) and perception evaluation of speech quality (PESQ) scores. The developed algorithm shows an improvement of 20-55 % in PESQ scores over CCM filter.

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Speech Processing with Adaptive Cascaded Median Based Noise Estimation

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