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In this paper, we deal with the problem of speaker segmentation. This speciality consists in splitting the audio document into homogeneous areas. Each area is attributed to one speaker. Speaker segmentation (or speaker change detection) consists in detecting the points where the speaker identity changes, in a multi-speaker audio stream. These points or times are called ??Break Points??.
In the current scenario, speech recognition systems have become one of the premier applications for machine learning and pattern recognition technology. The speech recognition uses neural nets, hidden Markov models, Bayesian networks, DTW and other tools for recognizing the particular speech. The classification modules are playing a very important role in most of the modern speech recognition systems...
The paper mainly discusses the speech keyword recognition system dealing with the audio streaming media. With the help of the Microsoft Windows Media Format SDK (WMFSDK), a powerful front-end interface module is designed to extract audio stream from different streaming media and convert it to the audio format supported by the speech-recognizer. In order to rapidly spot keywords and reject out-of-vocabulary...
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