Text Independent Speaker Identification with Prosody Features in Presence of Noise
Abstract:Automatic recognition of Meta data of a speaker apart from recognizing only his or her identity is a challenging task. It gives rich behavioral characteristics of a person.Maximum work have been done in speaker recognitionon low level spectral features. Which gives good accuracy with minimum error, but they ignore other information about the speaker. Also in spectral variations, in session variations and in channel variations these features give degraded performance. State-of-the-art systems for text-independe… Show more
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