ISBN: 9783659926006 - speech processing with adaptive cascaded median based noise estimation (9 risultati)

Condizione: New.

Paperback. Condizione: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock.

Taschenbuch. Condizione: Neu. Speech Processing with Adaptive Cascaded Median Based Noise Estimation | Sandesh Jain (u. a.) | Taschenbuch | 88 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659926006 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 88 pp. Englisch.…

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Condizione: New. PRINT ON DEMAND.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jain SandeshSandesh Jain is working as Assistant Professor in Medicaps University Indore. He is pursuing M.E. under the guidance of Dr. Dhiraj Nitnaware Assistant Professor in Electronics and Telecommunication Department, Institute .…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.…