Signal Processing

Applied Speech and Audio Processing : With Matlab Examples - download pdf or read online

By Ian McLoughlin

ISBN-10: 0511516541

ISBN-13: 9780511516542

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

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Example text

6. Latency (the delay between the first sample in the block and the analysis output) is to be minimised – a common requirement for voice communication systems. 3, but the process of segmentation does have its own fair share of problems. Consider an audio ‘feature’. By that I mean some type of sound that is contained within a vector of samples. Now when that vector is analysed it might happen that the feature is split into two: half appears in one audio frame, and the other half in another frame.

Segment))); plot(abs(ifft( ps ))); Most likely, if the speech segment were as large as that used for the correlogram example, the resulting cepstrum would have a huge DC peak and much of the detail in the plot obscured. It is possible to zoom in on sections of the plot either using the Matlab viewing tools, or by reducing the size of the original speech segment being analysed. Within a cepstral plot, there should be a peak visible at the same index position as the peak in the correlogram. For example, a peak in the 256-point cepstrum of 8 kHz speech at x-index 56 would relate to a frequency of 4000 ∗ 56/256 = 875 Hz.

4. When the military are in a combat situation, it is usually extremely important to understand the speech from a radio, whereas the quality of the sound is almost totally unimportant. In World War II, crude speech processing (clipping, or filter-clipping) was applied to radios used in aircraft – making the speech sound shrill and screechy – but significantly improving its intelligibility in a noisy cockpit [5]. This effect can often be heard in films and documentaries of the period. Despite stressing the difference between quality and intelligibility in this section, it is useful to note that under most circumstances excellent intelligibility implies excellent quality, and very poor intelligibility implies very poor quality.

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

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