Results 31 to 40 of about 600 (157)
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
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Speech Emotion Recognition Based on Memory Capsules and Attention [PDF]
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
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Fault detection method for belt conveyor idler
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
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Fault diagnosis of transformer winding short circuit based on WKPCA-WM and IPOA-CNN
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
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Automatic Hypernasal Detection Based on Acoustic Analysis in Cleft Palate Speech
: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
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Texture Classification Using Spectral Entropy of Acoustic Signal Generated by a Human Echolocator
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
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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
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Acoustic Pornography Recognition using Fused Pitch and Mel-Frequency Cepstrum Coefficients
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
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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
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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
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