earticle

영어

Speaker recognition is an important application of Speech Signal Processing and has been used in public safety, authenticating users for important financial transactions, access control systems and many more. The conventional approach in speaker identification and speaker verification has been to remove the silence from the recorded speech signal and further extract the significant features from the residual signal for recognition. This paper presents an alternative approach and puts forth the experimental results of obtaining silence as a parameter to check if the pattern of pauses/silence for train and test files recorded for individual speaker match. The paper emphasizes the approach in which a paragraph is recorded for 8 speakers and used as train files. The duration of silence/pauses of the speaker in a paragraph are obtained. This silence obtained is compared with the silence obtained from test file the matching of pattern of the silences decides the identity of the speaker.