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Cepstral analysis synthesis on the mel frequency scale
ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005This paper presents a new technique of cepstral analysis synthesis on the mel frequency scale, the log spectrum on the mel frequency scale (the mel log spectrum) is considered to be an effective representation of the spectral envelope of speech. This analysis synthesis system uses the mel log spectrum approximation (MLSA) filter which was devised for ...
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Perturbation analysis of mel-frequency cepstrum coefficients
2010 International Conference on Audio, Language and Image Processing, 2010Mel-frequency cepstrum coefficient (MFCC) is a widely used feature vector in speech signal precessing. Its feature extraction procedure can be seen as a mapping function which transfers the input speech signals to output MFCC feature vectors. However, this function is too complex to analyze and even a simple approximation is not easy to obtain.
Wei-Qiang Zhang +3 more
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Speech enhancement using hidden Markov models in Mel-frequency domain
Speech Communication, 2013Hidden Markov model (HMM)-based minimum mean square error speech enhancement method in Mel-frequency domain is focused on and a parallel cepstral and spectral (PCS) modeling is proposed. Both Mel-frequency spectral (MFS) and Mel-frequency cepstral (MFC) features are studied and experimented for speech enhancement. To estimate clean speech waveform from
Hadi Veisi, Hossein Sameti
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Chip design of mel frequency cepstral coefficients for speech recognition
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002The mel frequency cepstral coefficients (MFCC) is one of the mast important features, which is required among various kinds of speech applications. The chip for speech features extraction based on the MFCC algorithm is first proposed. The chip is designed with area efficient consideration and can achieve the following: (1) the reduction of table size ...
Jia-Ching Wang +2 more
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Mel-frequency cepstrum encoding in analog floating-gate circuitry
2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353), 2003This paper presents a continuous-time mel-frequency cepstrum encoding IC using analog circuits and floating-gate computational arrays. We present the dynamics of several floating-gate computational building blocks and accompanying experimental measurements. We also present a novel approach to programmable signal spectrum decomposition, analog frequency
Paul D. Smith +4 more
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Extending efficient spectral envelope modeling to Mel-frequency based representation
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008In this work we consider the problem of spectral envelope estimation using spectra with perceptually warped frequency axis. The goal of this work is the reduction of the order of the spectral envelope model which will facilitate the use of these envelopes for training of voice conversion systems.
Villavicencio, Fernando +2 more
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Analysis of Asthma by using Mel frequency cepstral coefficient
2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2016Asthma is a lung disease that affects airflow to and From the lungs. A whistling sound comes when a person suffering from asthma breathes in and out. Major symptoms of asthma are chest stiffness, breathe shortness and cough production during night and morning.
V. D. Dighore, V. R. Thool
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The extraction and simulation of Mel frequency cepstrum speech parameters
2012 International Conference on Systems and Informatics (ICSAI2012), 2012This paper takes consideration of (voices of) the characteristics of voice processing by the human auditory system, adopts triangle filter to do signal preprocessing, and uses logarithm operations of all filter output for extracting Mel frequency cepstrum Coefficient (MFCC).
Hongyu Xu, Xia Zhang, Liang Jia
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Fingerprint recognition using mel-frequency cepstral coefficients
Pattern Recognition and Image Analysis, 2010This paper presents a new fingerprint recognition method based on mel-frequency cepstral coefficients (MFCCs). In this method, cepstral features are extracted from a group of fingerprint images, which are transformed first to 1-D signals by lexicographic ordering.
F. G. Hashad +4 more
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Mel-frequency cepstral coefficient analysis in speech recognition
2006 International Conference on Computing & Informatics, 2006Speech recognition is a major topic in speech signal processing. Speech recognition is considered as one of the most popular and reliable biometric technologies used in automatic personal identification systems. Speech recognition systems are used for variety of applications such as multimedia browsing tool, access centre, security and finance.
Chin Kim On +3 more
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