Mohsen Bazyar

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In speaker identification, most of the computational processing time is required to calculate the likelihood of the test utterance of the unknown speaker with respect to the speaker models in the database. The time required for identifying a speaker is a function of feature vectors and their dimensionality and the number of speakers in the database. In this(More)
Speaker change detection is done in many speaker and speech identification applications that the speech is from two speakers. However, the standard metric-based methods performance is not suitable and stable owing to the amid window distance calculation stability. Therefore, a new method is proposed to improve the stability and enhance the performance of(More)
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