Results 211 to 220 of about 25,464 (256)

Integrating Oral Health Into Complex Care: A Novel Hospital‐Ward Placement for Oral Health Students

Journal of Dental Education, EarlyView.
Melanie J. Aley, Jacqueline Biggar, Lauren A. Church   +2 more
wiley   +1 more source

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Wireless Standard Identification via Mel Frequency Cepstrum

IEEE Communications Letters, 2022
Fanggang Wang, Boxiang He, Yaru Shan
exaly   +3 more sources

Detection of Copy-Move Forgery in Audio Signal with Mel Frequency and Delta-Mel Frequency Kepstrum Coefficients

2021 Innovations in Intelligent Systems and Applications Conference (ASYU), 2021
Digital multimedia security has taken a very important position with the developing technology. Detecting forgeries in audio signals is one of the most challenging application in the field of audio forensics. In this study, Mel Frequency and Delta Mel Frequency based methods are proposed to detect copypaste forgery in audio signals.
Fulya Akdeniz, Yaşar Becerikli
openaire   +1 more source

Compensated mel frequency cepstrum coefficients

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
The high concentration of energy in the low frequency range observed for most speech spectra is considered a nuisance because it makes less relevant the energy of the signal at middle and high frequencies in many speech analysis algorithms. This problem is often partially solved by filtering the input signal with a single-zero high pass filter.
Rivarol Vergin, Douglas D. O'Shaughnessy, Vishwa Gupta   +2 more
openaire   +2 more sources

Evaluation of Mel-Frequency Cepstrum for Wheeze Analysis

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
Monitoring of wheezes is an integral part of managing Chronic Respiratory Diseases such as asthma and Chronic Obstructive Pulmonary Disease (COPD). Recently, there is a growing interest in automatic detection of wheezes and the use of Mel-Frequency Cepstral Coefficients (MFCC) have been shown to achieve encouraging detection performance.
Renard Xaviero Adhi Pramono, Syed Anas Imtiaz, Esther Rodríguez-Villegas   +2 more
openaire   +3 more sources

Computing Mel-frequency cepstral coefficients on the power spectrum

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
We present a method to derive Mel-frequency cepstral coefficients directly from the power spectrum of a speech signal. We show that omitting the filterbank in signal analysis does not affect the word error rate. The presented approach simplifies the speech recognizers front end by merging subsequent signal analysis steps into a single one.
Sirko Molau, Michael Pitz, Ralf Schlüter, Hermann Ney   +3 more
openaire   +2 more sources

Mel-frequency Cepstral Coefficients for Eye Movement Identification

2012 IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
Human identification is an important task for various activities in society. In this paper, we consider the problem of human identification using eye movement information. This problem, which is usually called the eye movement identification problem, can be solved by training a multiclass classification model to predict a person's identity from his or ...
Viet Cuong Nguyen, Vu C. Dinh, Lam Si Tung Ho   +2 more
openaire   +2 more sources

Combined audio and video watermarking using mel-frequency cepstra

IEEE International Conference on Multimedia and Expo, 2001. ICME 2001., 2001
Digital watermarking is a promising technique to help protect the data security and intellectual property right. In this paper a combined audio and video watermarking technique is proposed. Content-dependent information is extracted from the audio signal. The extraction uses a well-known feature set for audio, the melfrequency cepstra.
Qiang Cheng 0001, Thomas S. Huang, Hao Pan 0002   +2 more
openaire   +2 more sources