1# Library to Find Best eBook for Read
Author : Henning Puder
Release : 2006
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Special Section Applied Speech and Audio-processing by : Henning Puder
Download or read book Special Section Applied Speech and Audio-processing written by Henning Puder. This book was released on 2006. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ian McLoughlin
Release : 2009-02-19
Genre : Computers
Kind : eBook
Book Rating : 543/5 ( reviews)
Book Synopsis Applied Speech and Audio Processing by : Ian McLoughlin
Download or read book Applied Speech and Audio Processing written by Ian McLoughlin. This book was released on 2009-02-19. Available in PDF, EPUB and Kindle. Book excerpt: This hands-on, one-stop resource describes the key techniques of speech and audio processing illustrated with extensive MATLAB examples.
Author : H. Puder
Release : 2006
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Applied Speech and Audio Processing by : H. Puder
Download or read book Applied Speech and Audio Processing written by H. Puder. This book was released on 2006. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Soumya Sen
Release : 2019-01-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 987/5 ( reviews)
Book Synopsis Audio Processing and Speech Recognition by : Soumya Sen
Download or read book Audio Processing and Speech Recognition written by Soumya Sen. This book was released on 2019-01-30. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an overview of audio processing, including the latest advances in the methodologies used in audio processing and speech recognition. First, it discusses the importance of audio indexing and classical information retrieval problem and presents two major indexing techniques, namely Large Vocabulary Continuous Speech Recognition (LVCSR) and Phonetic Search. It then offers brief insights into the human speech production system and its modeling, which are required to produce artificial speech. It also discusses various components of an automatic speech recognition (ASR) system. Describing the chronological developments in ASR systems, and briefly examining the statistical models used in ASR as well as the related mathematical deductions, the book summarizes a number of state-of-the-art classification techniques and their application in audio/speech classification. By providing insights into various aspects of audio/speech processing and speech recognition, this book appeals a wide audience, from researchers and postgraduate students to those new to the field.
Author : Ben Gold
Release : 2011-08-23
Genre : Technology & Engineering
Kind : eBook
Book Rating : 363/5 ( reviews)
Book Synopsis Speech and Audio Signal Processing by : Ben Gold
Download or read book Speech and Audio Signal Processing written by Ben Gold. This book was released on 2011-08-23. Available in PDF, EPUB and Kindle. Book excerpt: When Speech and Audio Signal Processing published in 1999, it stood out from its competition in its breadth of coverage and its accessible, intutiont-based style. This book was aimed at individual students and engineers excited about the broad span of audio processing and curious to understand the available techniques. Since then, with the advent of the iPod in 2001, the field of digital audio and music has exploded, leading to a much greater interest in the technical aspects of audio processing. This Second Edition will update and revise the original book to augment it with new material describing both the enabling technologies of digital music distribution (most significantly the MP3) and a range of exciting new research areas in automatic music content processing (such as automatic transcription, music similarity, etc.) that have emerged in the past five years, driven by the digital music revolution. New chapter topics include: Psychoacoustic Audio Coding, describing MP3 and related audio coding schemes based on psychoacoustic masking of quantization noise Music Transcription, including automatically deriving notes, beats, and chords from music signals. Music Information Retrieval, primarily focusing on audio-based genre classification, artist/style identification, and similarity estimation. Audio Source Separation, including multi-microphone beamforming, blind source separation, and the perception-inspired techniques usually referred to as Computational Auditory Scene Analysis (CASA).
