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Identification of satellite images based on mel frequency cepstral coefficients
2009 International Conference on Computer Engineering & Systems, 2009MFCC technique is an efficient technique which can be used for speech signals' classification as MFCC can be applied for 1-D signals. This paper suggests a new application for MFCC technique as it can be used for classification of satellite images, which are 2-D objects.
T. M. Talal, Ayman El-Sayed
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2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016
Speech processing is emerged as one of the important application area of digital signal processing. Power Normalized Cepstral Coefficients (PNCC) and Mel Frequency Cepstral Coefficient (MFCC) are mainly used in feature extraction of speech signals.
null Bharathi +2 more
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Speech processing is emerged as one of the important application area of digital signal processing. Power Normalized Cepstral Coefficients (PNCC) and Mel Frequency Cepstral Coefficient (MFCC) are mainly used in feature extraction of speech signals.
null Bharathi +2 more
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On the inversion of Mel-frequency cepstral coefficients for speech enhancement applications
2008 International Conference on Signals and Electronic Systems, 2008The use of Mel-frequency cepstral coefficients (MFCCs) is well established in the fields of speech processing, particularly for speaker modeling within a Gaussian mixture model (GMM) speaker recognition system. The use of GMMs for speech enhancement applications has only recently been proposed in the literature; the concept of direct inversion of the ...
Laura E. Boucheron, Phillip L. De Leon
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Mel Frequency Cepstral Coefficients Based Similar Albanian Phonemes Recognition
2016In Albanian language there are several phonemes that are similar in pronunciation like /q/ - /c/, /rr/ - /r/, /th/ - /dh/ and /gj/ - /xh/. These phonemes are difficult to distinguish by human ear even for native speaking Albanians from different regions.
Bertan Karahoda +2 more
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Mel-frequency cepstral coefficients as features for automatic speaker recognition
2015 23rd Telecommunications Forum Telfor (TELFOR), 2015Automatic speaker recognizer can be based on the use of mel-frequency cepstral coefficients as speaker features. Mel-frequency cepstral coefficients depend on energy inside considered auditory critical bands. These auditory critical bands model masking phenomena.
Ivan D. Jokic +3 more
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Multiple time resolutions for derivatives of Mel-frequency cepstral coefficients
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01., 2005Most speech recognition systems are based on Mel-frequency cepstral coefficients and their first- and second-order derivatives. The derivatives are normally approximated by fitting a linear regression line to a fixed-length segment of consecutive frames. The time resolution and smoothness of the estimated derivative depends on the length of the segment.
G. Stemmer +3 more
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Phase Based Mel Frequency Cepstral Coefficients for Speaker Identification
2016In this paper new Phase based Mel frequency Cepstral Coefficient (PMFCC) are used for speaker identification. GMM with VQ are used as a classifier for classification of speakers. The identification performance of proposed features is compared with identification performance of MFCC features and phase features. The performance of PMFCC features has been
Sumit Srivastava +2 more
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Speech production based on the mel-frequency cepstral coefficients
6th European Conference on Speech Communication and Technology, 1999Zbynek Tychtl, Josef Psutka
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Interpreting mel frequency cepstral coefficients for frication on the Turkish rhotic
Canonically, the “r” in Turkish is produced as an alveolar tap; however, word-finally, this tap has been described as devoiced and fricated. Previous work found that mel frequency cepstral coefficients (MFCCs) show spectral differences between canonical and fricated taps in Turkish.Miklas, Janalyn, Kelley, Matthew C.
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