Results 31 to 40 of about 600 (157)

The structural tuning of the convolutional neural network for speaker identification in mel frequency cepstrum coefficients space

open access: yesHerald of Advanced Information Technology, 2023
As a result of the literature analysis, the main methods for speaker identification from speech signals were defined. These are statistical methods based on Gaussian mixture model and a universal background model, as well as neural network methods, in particular, using convolutional or Siamese neural networks.
Anastasiia D. Matychenko   +1 more
openaire   +1 more source

Speech Emotion Recognition Based on Memory Capsules and Attention [PDF]

open access: yesJisuanji gongcheng
In current speech emotion recognition systems, the insufficient extraction of emotional features and inadequate modeling ability of models for complex emotional expressions have resulted in decreased recognition accuracy. This paper proposes a method for
DONG Hongliang, NIU Yan, SUN Yang, LI Jun
doaj   +1 more source

Fault detection method for belt conveyor idler

open access: yesGong-kuang zidonghua, 2023
The existing fault detection methods for belt conveyor idler have the problems of low recognition precision, poor anti-interference capability and inability to operate stably over a long period of time.
WU Guoping
doaj   +1 more source

Fault diagnosis of transformer winding short circuit based on WKPCA-WM and IPOA-CNN

open access: yesFrontiers in Energy Research, 2023
When the winding of the power transformer is short-circuited, the winding will experience constant vibration, which will cause axial instability of the winding, and then lead to winding looseness, deformation, bulge, etc., therefore, a diagnosis method ...
Xiping Pei   +4 more
doaj   +1 more source

Automatic Hypernasal Detection Based on Acoustic Analysis in Cleft Palate Speech

open access: yes工程科学与技术, 2014
:In order to detect hypernasal automatically for cleft palate patients, based on Shannon energy and Mel frequency cepstrum coefficient acoustic features and by combining with Gaussian mixture model classifier, an automatic hypernasal detection algorithm ...
何凌   +6 more
doaj  

Texture Classification Using Spectral Entropy of Acoustic Signal Generated by a Human Echolocator

open access: yesEntropy, 2019
Human echolocation is a biological process wherein the human emits a punctuated acoustic signal, and the ear analyzes the echo in order to perceive the surroundings. The peculiar acoustic signal is normally produced by clicking inside the mouth.
Raja Syamsul Azmir Raja Abdullah   +4 more
doaj   +1 more source

Automatic Classification Method of Music Genres Based on Deep Belief Network and Sparse Representation

open access: yesJournal of Mathematics, 2022
Aiming at the problems of poor classification effect, low accuracy, and long time in the current automatic classification methods of music genres, an automatic classification method of music genres based on deep belief network and sparse representation ...
Lina Pan
doaj   +1 more source

Acoustic Pornography Recognition using Fused Pitch and Mel-Frequency Cepstrum Coefficients

open access: yesInternational Journal of Technology, 2019
The main objective of this paper is pornography recognition using audio features. Unlike most of the previous attempts, which have concentrated on the visual content of pornography images or videos, we propose to take advantage of sounds. Using sounds is particularly important in cases in which the visual features are not adequately informative of the ...
Banaeeyan, Rasoul   +5 more
openaire   +4 more sources

Automatic Recognition of Arabic Poetry Meter from Speech Signal using Long Short-term Memory and Support Vector Machine

open access: yesARO-The Scientific Journal of Koya University, 2020
The recognition of the poetry meter in spoken lines is a natural language processing application that aims to identify a stressed and unstressed syllabic pattern in a line of a poem.
Abdulbasit K. Al-Talabani
doaj   +1 more source

The Classification and Judgment of Abnormal Problems in Music Song Interpretation Based on Deep Learning

open access: yesIEEE Access, 2023
Song singing interpretation is one of the people’s favorite entertainment pastimes, but there are some abnormal problems in the process of song singing.
Zhongwei Xu   +8 more
doaj   +1 more source

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