Robust Speech Recognition and Understanding
by M. Grimm, K. Kroschel
Publisher: InTech 2007
Number of pages: 460
This book brings together many different aspects of the current research on automatic speech recognition and language understanding. The authors address the task of voice activity detection which is considered an important issue for all speech recognition systems. Several extensions to state-of-the-art HMM methods are covered. Furthermore, a number of chapters particularly address the task of robust ASR under noisy conditions.
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by Andre Gustavo Adami - Universidade de Caxias do Sul
This is an overview of automatic speech recognition systems. The main algorithms of each component of a speech recognizer and current techniques for improving speech recognition performance are explained. The current development is discussed.
- Sun Microsystems, Inc.
Java Speech API Programmer's Guide is an introduction to speech technology and to the development of effective speech applications using the Java Speech API. An understanding of the Java programming language and the core Java APIs is assumed.
by France Mihelic, Janez Zibert - InTech
The book covers all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, etc.
by C. Schmandt - Van Nostrand Reinhold
An overview of the operating theory and applications of voice processing technology. From the basics of telephonics, to speech recognition and language processing, all the essential concepts are explored, with an emphasis on applied science.