Audio and Speech Processing with MATLAB

Audio and Speech Processing with MATLAB gives the reader a comprehensive overview of contemporary speech and audio processing techniques with an emphasis on practical implementations and illustrations using MATLAB code. Core concepts are first covered in an introduction to the physics of audio and vibration together with their representations using complex numbers, Z transforms, and frequency analysis transforms such as the FFT. Later chapters give a description of the human auditory system and the fundamentals of psychoacoustics. Insights, results, and analyses given in these chapters are subsequently used as the basis of understanding of the middle section of the book, which covers wideband audio compression (MP3 audio etc.), speech recognition, and speech coding. The final chapter covers musical synthesis and applications describing methods such as (and giving MATLAB examples of) AM, FM, and ring modulation techniques. This chapter gives a final example of the use of time-frequency modification to implement a so-called phase vocoder for time stretching (in MATLAB).

Features

• A comprehensive overview of contemporary speech and audio processing techniques from perceptual and physical acoustic models to a thorough background in relevant digital signal processing techniques, with an exploration of speech and audio applications.　
• A carefully paced progression of complexity of the described methods; building, in many cases, from first principles.
• Speech and wideband audio coding with a description of associated standardized codecs (e.g. MP3, AAC and GSM).
• Speech recognition: Feature extraction (e.g. MFCC features), Hidden Markov Models (HMMs), and deep learning techniques such as Long Short-Time Memory (LSTM) methods.
• Book- and computer-based problems at the end of each chapter.
• Contains numerous real-world examples backed up by many MATLAB functions and code.