f2005b - Enhancing Speech by Removing Noise Overview One...

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Enhancing Speech by Removing Noise Overview One area in which discrete-time signal processing has enjoyed widespread use is in the field of speech processing. I n this project, we consider IIR and FIR filter design in the context of enhancing speech corrupted by additive noise. While this relies somewhat on material Chapters 6 and 7, some aspects can be started earlier. This project is an excellent introduction to the issues discussed in Hardware Implementation Considerations for Removing Noise . Historically, DSP courses have put considerable emphasis on design techniques for both IIR and FIR filters, as discussed in Chapter 7 of the course text. A variety of filter design algorithms are now implemented in common software packages such as M ATLAB . This makes it unnecessary for most practitioners to learn the details of the design algorithms; however, ceding the design function to a software package makes it more important to understand the properties of different types of optimal filters, the meanings of the design parameters, and some of the trade-offs between filter classes. In the context of IIR filter design, we suggest that you read Sections 7.0 and 7.1 including Example 7.1. Also, read the examples in Section 7.3.1, but focus on what Butterworth and Chebyshev filters are rather than on the details of the bilinear transformation. For the discussion of FIR filter design, the suggested
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f2005b - Enhancing Speech by Removing Noise Overview One...

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