Identification E 6820 Spring ’ 08 Final Project Report Prof . Dan Ellis
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چکیده
People use biometric information to distinguish between different persons. Visually, face is one most important feature, other unique features, such as finger-prints, iris, are often used. Another way to identify a person is from the acoustic fact that each person’s voice are different, this forms one area of speech processing, automatic speaker recognition. For the past few decades, many solutions have come out. Although many of them have a very good performance, none of them are perfect. The difficulty of this is caused by several reasons based on the nature of speech. First, voice is not so unique as visual cues such as finger-prints, some people’s voice are very similar which results in the difficulty of separation. Another difficulty is that for speaker recognition, we are not only dealing with the variation between people, but also the huge variability of voice from one person, this includes the large amount of phonemes one can utter as well as the variation when speaking in different emotions.
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