Speech processing is emerged as one of the important application area of digital signal processing. Various fields for research in speech processing are speech recognition, speaker recognition, speech synthesis, speech coding etc. The objective of automatic speaker recognition is to extract, characterize and recognize the information about speaker identity. Feature extraction is the first step ...

Parameterisation of the glottal source has become increasingly useful for speech technology. For many applications it may be desirable to restrict the glottal source feature data to only speech regions where it can be reliably extracted. In this paper we exploit the previously proposed set of binary phonetic feature extractors to help determine optimal regions for glottal source analysis. Besid...

Acoustic feature extraction algorithms play a central role in many speech and music processing applications. However, noise usually prevents acoustic feature extraction algorithms from obtaining the correct information from speech and music signals. Thus, the robustness of acoustic feature extraction algorithms is an area worth studying. In this thesis, we consider two important acoustic featur...

In this paper, a unified approach to speech enhancement, feature extraction and feature normalization for speech recognition in adverse recording conditions is presented. The proposed frontend system consists of several different, independent, processing modules. Each of the algorithms contained in these modules has been independently applied to the problem of speech recognition in noise, signi...