Abstract
In the previous chapter, we estimated the desired signal from the current data frame only. However, as shown in Chapter 1, consecutive data frames are correlated and this information should, therefore, be taken into account in order to enhance the estimation of the speech signal. Now, a filter needs to be used instead of a gain to reflect this new situation. This chapter investigates this framework but we are still concerned with the single-microphone case; therefore, the signal model is the same as in Chapter 2. We start by explaining the principle of linear filtering in this context.
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Notes
- 1.
In this work, we consider the interference as part of the noise in the definitions of the performance measures.
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Benesty, J., Chen, J., Habets, E.A.P. (2012). Single-Channel Speech Enhancement with a Filter. In: Speech Enhancement in the STFT Domain. SpringerBriefs in Electrical and Computer Engineering(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23250-3_3
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DOI: https://doi.org/10.1007/978-3-642-23250-3_3
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