Local spectral variability features for speaker verification
نویسندگان
چکیده
منابع مشابه
Local spectral variability features for speaker verification
Speaker verification techniques neglect the short-time variation in the feature space even though it contains speaker related attributes. We propose a simple method to capture and characterize this spectral variations through the eigenstructure of the sample covariance matrix. This covariance is computed using sliding window over spectral features. The newly formulated feature vectors represent...
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Speaker verification from talking a few words of sentences has many applications. Many methods as DTW, HMM, VQ and MQ can be used for speaker verification. We applied MQ for its precise, reliable and robust performance with computational simplicity. We also used pitch frequency and log gain contour for further improvement of the system performance.
متن کاملLocal Variability Modeling for Text-independent Speaker Verification
Total variability model (TVM) was recently proposed for the compression of speech utterances to low dimensional vectors (i.e., the so-call identity vector or i-vector). Compared to the variable-length nature of speech utterances, i-vectors have fixed length and therefore could be used with simple classifiers for text-independent speaker verification task. This paper proposes the local variabili...
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This paper investigates the use of frame alignment given by a deep neural network (DNN) for text-constrained speaker verification task, where the lexical contents of the test utterances are limited to a finite set of vocabulary. The DNN makes use of information carried by the target and its contextual frames to assign it probabilistically to one of the phonetic states. The frame alignment is th...
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Speaker verification from talking a few words of sentences has many applications. Many methods as DTW, HMM, VQ and MQ can be used for speaker verification. We applied MQ for its precise, reliable and robust performance with computational simplicity. We also used pitch frequency and log gain contour for further improvement of the system performance.
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ژورنال
عنوان ژورنال: Digital Signal Processing
سال: 2016
ISSN: 1051-2004
DOI: 10.1016/j.dsp.2015.10.011