With the advent of `multimedia', digital signal processing  (DSP) of sound has emerged from the shadow of bandwidth limited speech  processing to become a research field of its own. To date, most  research in DSP applied to sound has been concentrated on speech,  which is bandwidth limited to about 4 kilohertz. Speech processing is  also limited by the low fidelity typically expected in the telephone  network.    Today, the main applications of audio DSP are high quality audio  coding and the digital generation and manipulation of music signals.  They share common research topics including perceptual measurement  techniques and analysis/synthesis methods. Additional important topics  are hearing aids using signal processing technology and hardware  architectures for digital signal processing of audio. In all these  areas the last decade has seen a significant amount of  application-oriented research.    The frequency range of wideband audio has an upper limit of 20  kilohertz and the resulting difference in frequency range and Signal  to Noise Ratio (SNR) due to sample size must be taken into account  when designing DSP algorithms. There are whole classes of algorithms  that the speech community is not interested in pursuing or using.  These algorithms and techniques are revealed in this book.    This book is suitable for advanced level courses and serves as a  valuable reference for researchers in the field. Interested and  informed engineers will also find the book useful in their work.

Applications of Digital Signal Processing to Audio and Acoustics PDF

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