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Language Identification Using Excitation Source Features

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A Comprehensive Guide for Researchers and Practitioners

Language Identification Using Excitation Source Features Language Identification Using Excitation Source Features (SpringerBriefs In Speech Technology)

Language Identification Using Excitation Source Features (SpringerBriefs in Speech Technology)

by Marcus Du Sautoy

4.6 out of 5

Language	:	English
File size	:	3419 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	173 pages

Language identification is a critical task in various applications, such as speech processing, speaker recognition, and forensic analysis. This book provides a comprehensive overview of language identification using excitation source features, including theoretical foundations, algorithmic approaches, and practical applications.

The book begins with an to the field of language identification and the role of excitation source features in this task. It then discusses the various excitation source features that have been proposed for language identification, including glottal source parameters, formants, and bandwidths. The book also provides an overview of the different algorithmic approaches that have been used for language identification based on excitation source features, including statistical models, machine learning algorithms, and deep learning models.

The book concludes with a discussion of the practical applications of language identification using excitation source features. These applications include speaker recognition, forensic analysis, and language modeling. The book also provides an outlook on the future of language identification research, including the potential for new features and algorithms that will improve the accuracy and robustness of this task.

Benefits of using this book:

Provides a comprehensive overview of language identification using excitation source features
Covers the theoretical foundations, algorithmic approaches, and practical applications of language identification
Includes a discussion of the latest research in the field
Written by a leading expert in the field

Audience

This book is intended for researchers and practitioners in the field of speech processing, speaker recognition, and forensic analysis. It is also suitable for graduate students in these fields.