Audio and Speech Processing with MATLAB-Test Bank
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ISBN-101498762743
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ISBN-13978-1498762748Speech and audio processing has undergone a revolution in previous a long time that has accelerated in the previous few years producing game-changing applied sciences reminiscent of really profitable speech recognition methods; a purpose that had remained out of attain till very not too long ago. This guide provides the reader a complete overview of such modern speech and audio processing methods with an emphasis on sensible implementations and illustrations utilizing MATLAB code. Core ideas are firstly coated giving an introduction to the physics of audio and vibration collectively with their representations utilizing advanced numbers, Z transforms and frequency evaluation transforms such because the FFT.
Later chapters give an outline of the human auditory system and the basics of psychoacoustics. Insights, outcomes, and analyses given in these chapters are subsequently used as the premise of understanding of the center part of the guide overlaying: wideband audio compression (MP3 audio and so forth.), speech recognition and speech coding.
The ultimate chapter covers musical synthesis and functions describing strategies reminiscent of (and giving MATLAB examples of) AM, FM and ring modulation methods. This chapter provides a ultimate instance of using time-frequency modification to implement a so-called section vocoder for time stretching (in MATLAB).
Options
- A complete overview of latest speech and audio processing methods from perceptual and bodily acoustic fashions to an intensive background in related digital sign processing methods collectively with an exploration of speech and audio functions.
- A fastidiously paced development of complexity of the described strategies; constructing, in lots of circumstances, from first ideas.
- Speech and wideband audio coding collectively with an outline of related standardised codecs (e.g. MP3, AAC and GSM).
- Speech recognition: Characteristic extraction (e.g. MFCC options), Hidden Markov Fashions (HMMs) and deep studying methods reminiscent of Lengthy Brief-Time Reminiscence (LSTM) strategies.
- Guide and computer-based issues on the finish of every chapter.
- Accommodates quite a few real-world examples backed up by many MATLAB features and code.
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