Signal Processing

Download Applied Speech and Audio Processing : With Matlab Examples by Ian McLoughlin PDF

By Ian McLoughlin

This hands-on, one-stop source describes the main suggestions of speech and audio processing illustrated with vast MATLAB examples.

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Additional info for Applied Speech and Audio Processing : With Matlab Examples

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Gold and N. Morgan (Wiley, 1999) The epitome of speech and audio textbooks, this 560-page tome is divided into 36 chapters that cover literally every aspect of the processing and perception of speech and music. For readers wishing to purchase a single reference text, this would probably be first choice. It is not a book for absolute beginners, and is not orientated at providing practical methods and details, but for those already comfortable with the main techniques of computer processing of speech and audio, it would be useful in expanding their knowledge.

6. Visualisation 25 In speech analysis, as will be described in Chapter 3, many of the muscle movements which cause speech sounds are relatively slow moving, resulting in speech which slowly changes its spectral characteristics. A useful rule of thumb is that the speech signal can be assumed to be stationary, in fact pseudo-stationary, over a period of about 20–30 ms. Thus speech analysis typically requires segmentation into 20 ms long frames [3]. 1) and many other forms of analysis. When used, each must be carefully matched against the known characteristics of the audio signals which are to be handled.

2 Measurement of speech quality Speech quality is normally measured subjectively, in terms of a mean opinion score (MOS). This involves a panel of several listeners, usually placed in a soundproofed room, having the audio recording under evaluation played to them. 3. The MOS score of a particular recording is the mean of the results reported by each of the listeners. Obviously the more listeners, the more accurate (and repeatable) the results will be. 800, widely used in the audio community. 3.

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