Results 161 to 170 of about 6,514 (211)

Hybrid deep learning and YAMNet features for asthma diagnosis from respiratory sounds. [PDF]

Sci Rep
Shatat GAE, Moustafa HE, Saraya MS, Marzouk AA, Hekal AA.   +4 more
europepmc   +1 more source

Optimizing MFCC Parameters for Breathing Phase Detection. [PDF]

Sensors (Basel)
Zhantleuova AK, Makashev YK, Duzbayev NT.   +2 more
europepmc   +1 more source

Speech impairment detection in children using time frequency features of speech and deep learning techniques. [PDF]

Front Hum Neurosci
Manoswini M, Swain BR, Sahoo B, Gourisaria MK, Jha AV, Bizon N, Swetapadma A.   +6 more
europepmc   +1 more source

Explainable ResNet-long short-term memory model for the classification of bowel sounds frequency based on multifeature fusion. [PDF]

J Int Med Res
Zhang W, Wang Y, Zhu J, Wu Q, Xu C, Liu L, Zhu S, Liu X, Lin J, Yu C, Yin Q, Ding X, Xu Z.   +12 more
europepmc   +1 more source

Advanced feature selection and temporal attention mechanisms with Bi-LSTM classifier for optimizing emotion recognition in Kashmiri speech. [PDF]

Front Artif Intell
Dar GM, Delhibabu R.
europepmc   +1 more source

Robust Heart Sound Analysis With MFCC and Light Weight Convolutional Neural Network. [PDF]

IEEE Open J Eng Med Biol
Hasan A, Karim M.
europepmc   +1 more source

The Utility of Speech and Language Analytics for Screening Alzheimer's Disease.

Neurodegener Dis
Siddiqui A, Kathiresan T, Opler M, Cohen A, Alber J, Snyder PJ, Vogel AP.   +6 more
europepmc   +1 more source

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.
Aldonso Becerra
exaly   +4 more sources

A mathematical relationship between full-band and multiband mel-frequency cepstral coefficients

IEEE Signal Processing Letters, 2002
Recently, it has been shown that robustness of automatic speech recognition (ASR) against band-limited additive noises may be improved by multiband ASR (MBASR) approaches. In an M-subband MBASR system, the channels in the full-band filterbank are divided into M subbands, usually of equal partitions, and subband mel-frequency cepstral coefficients ...
Mak, Brian
exaly   +4 more sources