Speech Processing in Embedded Systems [electronic resource] /by Priyabrata Sinha.
by Sinha, Priyabrata [author.]; SpringerLink (Online service).
Material type:
Item type | Current location | Call number | Status | Date due | Barcode |
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TA1637-1638 (Browse shelf) | Available | ||||
TK7882.S65 (Browse shelf) | Available | ||||
Long Loan | MAIN LIBRARY | TK5102.9 (Browse shelf) | Available |
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TK7882.S65 Speech Technology | TK7882.S65 Signal Processing Techniques for Knowledge Extraction and Information Fusion | TK7882.S65 Applied Signal Processing | TK7882.S65 Speech Processing in Embedded Systems | TK7882.S65 MIMO Communication for Cellular Networks | TK7882.S65 Fundamentals of Speaker Recognition | TK7882.S65 In-Vehicle Corpus and Signal Processing for Driver Behavior |
Signal Processing Fundamentals -- Basic Speech Processing Concepts -- CPU Architectures for Speech Processing -- Peripherals for Speech Processing -- Speech Compression Overview -- Waveform Coders -- Voice Coders -- Noise and Echo Cancellation -- Speech Recognition -- Speech Synthesis -- Conclusion.
Speech Processing has rapidly emerged as one of the most widespread and well-understood application areas in the broader discipline of Digital Signal Processing. Besides the telecommunications applications that have hitherto been the largest users of speech processing algorithms, several non-traditional embedded processor applications are enhancing their functionality and user interfaces by utilizing various aspects of speech processing. Speech Processing in Embedded Systems describes several areas of speech processing, and the various algorithms and industry standards that address each of these areas. The topics covered include different types of Speech Compression, Echo Cancellation, Noise Suppression, Speech Recognition and Speech Synthesis. In addition this book explores various issues and considerations related to efficient implementation of these algorithms on real-time embedded systems, including the role played by processor CPU and peripheral functionality. This volume is perfect for engineers involved in the design and implementation of speech processing applications.
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