Introduction to Digital Speech Processing
Introduction to Digital Speech Processing

Author: Lawrence R. Rabiner

Publisher: Now Publishers Inc

Published: 2007

Total Pages: 212

ISBN-13: 1601980701

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Provides the reader with a practical introduction to the wide range of important concepts that comprise the field of digital speech processing. Students of speech research and researchers working in the field can use this as a reference guide.

Speech and Audio Signal Processing
Speech and Audio Signal Processing

Author: Ben Gold

Publisher: John Wiley & Sons

Published: 2011-08-23

Total Pages: 684

ISBN-13: 0470195363

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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).

The Cambridge Handbook of Phonetics
The Cambridge Handbook of Phonetics

Author: Rachael-Anne Knight

Publisher: Cambridge University Press

Published: 2021-12-02

Total Pages: 902

ISBN-13: 1108596568

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Phonetics - the study and classification of speech sounds - is a major sub-discipline of linguistics. Bringing together a team of internationally renowned phoneticians, this handbook provides comprehensive coverage of the most recent, cutting-edge work in the field, and focuses on the most widely-debated contemporary issues. Chapters are divided into five thematic areas: segmental production, prosodic production, measuring speech, audition and perception, and applications of phonetics. Each chapter presents an historical overview of the area, along with critical issues, current research and advice on the best practice for teaching phonetics to undergraduates. It brings together global perspectives, and includes examples from a wide range of languages, allowing readers to extend their knowledge beyond English. By providing both state-of-the-art research information, and an appreciation of how it can be shared with students, this handbook is essential both for academic phoneticians, and anyone with an interest in this exciting, rapidly developing field.

Machine Learning for Audio, Image and Video Analysis
Machine Learning for Audio, Image and Video Analysis

Author: Francesco Camastra

Publisher: Springer

Published: 2015-07-21

Total Pages: 564

ISBN-13: 144716735X

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This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into three main parts, From Perception to Computation introduces methodologies aimed at representing the data in forms suitable for computer processing, especially when it comes to audio and images. Whilst the second part, Machine Learning includes an extensive overview of statistical techniques aimed at addressing three main problems, namely classification (automatically assigning a data sample to one of the classes belonging to a predefined set), clustering (automatically grouping data samples according to the similarity of their properties) and sequence analysis (automatically mapping a sequence of observations into a sequence of human-understandable symbols). The third part Applications shows how the abstract problems defined in the second part underlie technologies capable to perform complex tasks such as the recognition of hand gestures or the transcription of handwritten data. Machine Learning for Audio, Image and Video Analysis is suitable for students to acquire a solid background in machine learning as well as for practitioners to deepen their knowledge of the state-of-the-art. All application chapters are based on publicly available data and free software packages, thus allowing readers to replicate the experiments.

Speech, Audio, Image and Biomedical Signal Processing using Neural Networks
Speech, Audio, Image and Biomedical Signal Processing using Neural Networks

Author: Bhanu Prasad

Publisher: Springer Science & Business Media

Published: 2008-01-03

Total Pages: 419

ISBN-13: 3540753974

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Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It chapters are prepared by some reputed researchers and practitioners around the globe.