2010 | OriginalPaper | Buchkapitel
Intelligent System Design in Speech
verfasst von : Anupam Shukla, Ritu Tiwari, Rahul Kala
Erschienen in: Towards Hybrid and Adaptive Computing
Verlag: Springer Berlin Heidelberg
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Speech based systems may be used for a variety of tasks that we use in everyday life. The applications using speech may be broadly classified into speaker recognition and speaker verification. The recognition deals with the identification of the person who is speaking. The task of verification systems is to verify the claimed identity of the person. Here we make use of speech as a biometric modality. Besides, speech is extensively used for word identification whose application includes the speech to text conversion. The variety of applications has a large number of issues associated with them. In this chapter we give a broad overview of these systems, their working and design issues. Some of the issues addressed in the chapter include the variation of speech, effect of noise, text dependent and independent recognition, start and end of signal detection, etc. Most of the discussions revolve around the pattern recognition approach for the recognition systems. This would give an application base of the discussed approaches that we have studied so far or would be studying later in this book.