Description
Identifying a speaker by the speech signal uttered by the speaker is very essential in many applications, such as voice controlled applications, fraud call detection, information retrieval systems, etc. The speakers have to be recognized irrespective of the content they speak. This is a challenging area which has good scope for research. Speaker recognition is very popular in various present day fields which include authentication of a person such as security control, tele-banking, etc. This is highly essential when authentication have to be done remotely, because the other forms of identification requires physical contact of the person.
In this book, Signal processing based speaker recognition system is explored, which extracts robust features from the speech signals and classifies them with good accuracy. Initially, the speech signals are preprocessed which removes the silence portion in the signal, emphasizes the high frequency components and reduces the noise.
