Results 141 to 150 of about 3,467 (180)

Chip design of mel frequency cepstral coefficients for speech recognition

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002
The 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, Jhing-Fa Wang, Yu-Sheng Weng   +2 more
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Fingerprint recognition using mel-frequency cepstral coefficients

Pattern Recognition and Image Analysis, 2010
This 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, T. M. Halim, S. M. Diab, B. M. Sallam, F. E. Abd El-Samie   +4 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), 2016
Asthma 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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Mel-frequency cepstral coefficient analysis in speech recognition

2006 International Conference on Computing & Informatics, 2006
Speech 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, Paulraj M. Pandiyan, Sazali Yaacob, Azali Saudi   +3 more
openaire   +1 more source

Encrypted Domain Mel-Frequency Cepstral Coefficient and Fragile Audio Watermarking

2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 2018
Audio has become increasingly important in modern social communication and mobile Internet, e.g., the employment of voice messaging in mobile social Apps. In the scenario of cloud computing, we need to consider the privacy protection of the audio content and the integrity of the audio simultaneously.
Jian Chen, Ziyang Chen, Peijia Zheng, Jianting Guo, Wei Zhang 0016, Jiwu Huang   +5 more
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Identification of satellite images based on mel frequency cepstral coefficients

2009 International Conference on Computer Engineering & Systems, 2009
MFCC 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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Mel-Frequency Cepstral and Linear Predictive Coefficients

2018
Mel-frequency cepstral coefficients (MFCCs) and linear predictive coefficients (LPCs) are features used to describe sound according to time, frequency, and amplitude. These techniques, which are mainly used in speech analysis, are reviewed step by step for a good understanding and practice.
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Extraction of speech signal based on Power Normalized Cepstral Coefficient and Mel Frequency Cepstral Coefficient: A comparison

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, Narain Ponraj, Merlin Mercy   +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, 2008
The 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 as features for automatic speaker recognition

2015 23rd Telecommunications Forum Telfor (TELFOR), 2015
Automatic 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, Stevan D. Jokic, Vlado D. Delic, Zoran H. Perie   +3 more
openaire   +1 more source