Results 151 to 160 of about 28,361 (199)

Speech Recognition with an fMRISNN Constrained by Human Functional Brain Networks: A Study of Enhanced MFCC-Driven Sparse Spike Encoding. [PDF]

Biomimetics (Basel)
Guo L, Ma N, Wang Z, Liu R.
europepmc   +1 more source

Automatic chick cough detection system based on improved audio spectrogram convolutional transformer neural network. [PDF]

Front Vet Sci
Cai B, Zhou B, Kong X, Zhai M.
europepmc   +1 more source

Extending efficient spectral envelope modeling to Mel-frequency based representation

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008
In 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, Röbel, Axel, Rodet, Xavier   +2 more
openaire   +3 more sources

Evaluation of Mel-Frequency Cepstrum for Wheeze Analysis [PDF]

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

A comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an Automatic Bird Species Recognition System

2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2018
In this paper a comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an automatic bird species recognition system is proposed with the aim to validate IMFCC as a feature that can also be extracted for bird species recognition.
Ángel David Pedroza Ramírez, José Ismael de la Rosa Vargas, Rogelio Rosas Valdez, Aldonso Becerra   +3 more
openaire   +2 more sources

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Improved speech emotion recognition with Mel frequency magnitude coefficient

Applied Acoustics, 2021
Abstract Automatic speech emotion recognition using machine learning is a demanding research topic in the field of affective computing. Identifying the speech features for speech emotion recognition is a challenging issue as the feature needs to emphasize the information about emotion from the speech.
A Milton
exaly   +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

Speech enhancement using hidden Markov models in Mel-frequency domain

Speech Communication, 2013
Hidden 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
exaly   +2 more sources