Multimodal speaker verification based on easy-to-obtain biometric traits such as face and voice is rapidly gaining acceptance as the preferred technology for many applications. In many such practical applications, other characteristics of the speaker such as gender or age are known and may be exploited for enhanced verification accuracy. In this paper we present a parallel approach determining ...

Speaker Verification and Utterance Verification are examples of techniques that can be used for Speaker Authentication purposes. Speaker Verification consists of accepting or rejecting the claimed identity of a speaker by processing samples of his/her voice. Utterance Verification systems make use of a set of speaker-independent speech models to recognize a certain utterance and decide whether ...

In this work we present a speaker verification system based on 4 broad phonetic categories: vowels+diphthongs, fricatives, glides+nasals, and silence+stops. Using these categories separately, it is observed that vowels, diphthongs, and fricatives are the most important categories for speaker verification. This observation confirms the results from the analysis of speaker and channel variability...

In this paper, we propose a method to extract and verify individual speaker utterance using a subspace method. This method can extract speech section of the same speaker by repeating speaker verification between the present speech section and the immediately previous speech section. The speaker models are automatically trained in the verification process without constructing speaker templates i...