Improved MFCC-based feature for robust speaker identification
نویسندگان
چکیده
منابع مشابه
Improved Text - Independent Speaker Identification using Fused MFCC & IMFCC Feature Sets based on Gaussian Filter
requires a robust feature extraction unit followed by a speaker modeling scheme for generalized representation of these features. Over the years, Mel-Frequency Cepstral Coefficients (MFCC) modeled on the human auditory system has been used as a standard acoustic feature set for speech related applications. On a recent contribution by authors, it has been shown that the Inverted Mel-Frequency Ce...
متن کاملImproved Text-Independent Speaker Identification using Fused MFCC and IMFCC Feature Sets based on Gaussian Filter
A state of the art Speaker Identification (SI) system requires a robust feature extraction unit followed by a speaker modeling scheme for generalized representation of these features. Over the years, Mel-Frequency Cepstral Coefficients (MFCC) modeled on the human auditory system has been used as a standard acoustic feature set for speech related applications. On a recent contribution by authors...
متن کاملRobust speaker identification based on selective use of feature vectors
A new method for speaker identification that selectively uses feature vectors for robust decision-making is described. Experimental results, with short speech segments ranging from 0.25 to 2 s, showed that our method consistently outperforms other approaches yielding relative improvements of 20–51% and 15–30% over baseline GMM and the LDA-GMM systems, respectively. 2006 Elsevier B.V. All rights...
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Speech processing has emerged as one of the important application area of digital signal processing. Various fields for research in speech processing are speech recognition, speaker recognition, speech synthesis, speech coding etc. Speaker recognition is one of the most useful and popular biometric recognition techniques in the world especially related to areas in which security is a major conc...
متن کاملText Independent Speaker Modeling and Identification Based On MFCC Features
In this gives an overview of automatic speaker recognition technology, with an emphasis on textindependent recognition. Speaker recognition has been studied actively for several decades. We give an overview of both the classical and the state-of-the-art methods. We start with the fundamentals of automatic speaker recognition, concerning feature extraction and speaker modeling. Here, describe a ...
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ژورنال
عنوان ژورنال: Tsinghua Science and Technology
سال: 2005
ISSN: 1007-0214
DOI: 10.1016/s1007-0214(05)70048-1