A Novel Approach in Text-Independent Speaker Recognition in Noisy Environment
Author(s):
Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
In this paper, robust text-independent speaker recognition is taken into consideration. The proposed method performs on manual silence-removed utterances that are segmented into smaller speech units containing few phones and at least one vowel. The segments are basic units for long-term feature extraction. Sub-band entropy is directly extracted in each segment. A robust vowel detection method is then applied on each segment to separate a high energy vowel that is used as unit for pitch frequency and formant extraction. By applying a clustering technique, extracted short-term features namely MFCC coefficients are combined with long term features. Experiments using MLP classifier show that the average speaker accuracy recognition rate is 97.33% for clean speech and 61.33% in noisy environment for -2db SNR, that shows improvement compared to other conventional methods.
Keywords:
Language:
Persian
Published:
Journal of Intelligent Procedures in Electrical Technology, Volume:5 Issue: 19, 2014
Pages:
33 to 44
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