کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
534087 870216 2012 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Is masking a relevant aspect lacking in MFCC? A speaker verification perspective
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Is masking a relevant aspect lacking in MFCC? A speaker verification perspective
چکیده انگلیسی

We hypothesize that spectral masking may account for most of the gains in robustness against noise using ensemble interval histogram (EIH) and zero crossing with peak amplitude (ZCPA) compared to Mel-frequency cepstral coefficients (MFCCs). To test this hypothesis, we focus on this issue by comparing two MFCC implementations for which the only difference is spectral masking. The comparison involved biometric speaker verification tasks using two publicly available databases. The results confirm the superiority of MFCC with masking, thus corroborating our hypotheses that masking is a key aspect for improved robustness in feature extraction.


► Masking should be a pivotal concern for robustness issues in speaker recognition.
► Fast masking effect can be obtained through a slightly modified MFCC extractor.
► Rectangular masking windows outperform usual triangular ones under strong noise.
► Under additive noise a good masking bandwidth is roughly twice the critical band.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 33, Issue 16, 1 December 2012, Pages 2156–2165
نویسندگان
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