Technology and Implementation

The aim of this chapter is to highlight relevant technical factors and limitations affecting collection and interpretation of speech signals. We concentrate on the typical corruption or distortion of the speech signal which is encountered in the real world, and where possible, we include an indication of how important these effects can be. Transmission and encoding of speech signals in mobile phone networks and the internet is almost invariably lossy, and this has an acute effect on the accuracy of speech recognition systems. Published research has also shown a comparable effect on the accuracy of dysphonia/dysarthria detection. The relationship between some specific aspects of the data collection process and the validity of assessments of new techniques, is discussed. The current absence of a realistic database of remotely collected speech samples is highlighted, and adherence to standardised methods and datasets is shown to be crucial to the evaluation of new algorithms. Methods for combining multiple features into a single result are frequently required, and these too are discussed in this chapter.

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