An overview on the challenging new topic of phase-aware signal processing Speech communication technology is a key factor in human-machine interaction, digital hearing aids, mobile telephony, and automatic speech/speaker recognition. With the proliferation of these applications, there is a growing requirement for advanced methodologies that can push the limits of the conventional solutions relying on processing the signal magnitude spectrum. Single-Channel Phase-Aware Signal Processing in Speech Communication provides a comprehensive guide to phase signal processing and reviews the history of phase importance in the literature, basic problems in phase processing, fundamentals of phase estimation together with several applications to demonstrate the usefulness of phase processing. Key features: Analysis of recent advances demonstrating the positive impact of phase-based processing in pushing the limits of conventional methods. Offers unique coverage of the historical context, fundamentals of phase processing and provides several examples in speech communication. Provides a detailed review of many references and discusses the existing signal processing techniques required to deal with phase information in different applications involved with speech. The book supplies various examples and MATLAB® implementations delivered within the PhaseLab toolbox. Single-Channel Phase-Aware Signal Processing in Speech Communication is a valuable single-source for students, non-expert DSP engineers, academics and graduate students.
[35] J. L. Flanagan, C. H. Coker, L. R. Rabiner, R. W. Schafer, and N. Umeda, “Synthetic voices for computers,” IEEE ... [43] B. Gold and L. R. Rabiner, “Parallel processing techniques for estimating pitch period of speech in the time ...
Sequential Monte Carlo methods for nonlinear discrete-time filtering. Morgan & Claypool Publishers, February 2013. 10. G. Casella and C.P. Robert. Rao-Blackwellisation of sampling schemes. Biometrika, 83(1):81–94, 1996. 11.
Responding to this need, Speech Enhancement: Theory and Practice, Second Edition introduces readers to the basic pr
As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. This book is about speech enhancement.
Advanced Signal Processing and Digital Noise Reduction
Historically, the topic of different sampling rates in signal processing was first treated in detail in R. E. Crochiere and L. R. Rabiner's, Multirate Digital Signal Processing (Prentice-Hall, 1983). With the advent of filter banks and ...
A book of selected reprints. Includes a chapter on automatic speech recognition.
Speech Dereverberation gathers together an overview, a mathematical formulation of the problem and the state-of-the-art solutions for dereverberation. Speech Dereverberation presents current approaches to the problem of reverberation.
This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017.
This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences.