Kniha Audio Segmentation for speech recognition using feature extraction Gayatri Bhandari

Audio Segmentation for speech recognition using feature extraction

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 8-11 dnů
1 180
Sound part removal assumes a vital half in programmed melody characterization. Highlight removal is...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2016
Stránek
304
EAN
9783659892745
Enbook ID
12628816
Hmotnost
469
Rozměry
150 x 220 x 18

Kompletní popis

Sound part removal assumes a vital half in programmed melody characterization. Highlight removal is that the center of substance primarily based depiction of sound records. With highlight removal from sound, a laptop has the capability understand the substance of slightly of melody while not the necessity of processed marks, for instance, craftsman, tune title or kind. This can be the elemental premise for data recovery assignments, for instance, comparison primarily based hunts, programmed arrangement interested in categories, or programmed association and grouping of melody chronicles. This archive clarifies the necessity for sound part removal framework, what is more depicts the foremost essential qualities, for instance, MFCC, ZCR, LPC , SNR , Spectrum Flux , Power Spectrum, RMS then forth quite twenty components. Also in this book different algorithms are studied for finding the above features and their performance is measured and evaluated and studied.

Mohlo by vás zajímat

Egyptian Arabic

Siona Jenkins
287
170

Crypto Scams

Michael Toland
347

Speech and Computer

S. R. Mahadeva Prasanna
3 175
294
706

We Sang You Home

Richard Van Camp
234

Art of War

Antoine Henri Jomini
782

Living Colour

Paula Pryke
713
1 132
780

Chinese Face in Australia

Lucille Lok-Sun Ngan
2 286

Zákaznicí kteří koupili tuto knihu koupili také

Organizaciones Resilientes

Ricardo Vega Zambrano
770
1 039

Ostre niedokrwienie krezki

Lara Fernandes de Carvalho
789

Pasta : recetas y vídeos

Brent Parker Jones
390

El jardín impío

Juan Miguel Fernández Fernández
501