Results 11 to 20 of about 545,669 (204)

Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System [PDF]

open access: yesThe Scientific World Journal, 2015
The impact of the classification method and features selection for the speech emotion recognition accuracy is discussed in this paper. Selecting the correct parameters in combination with the classifier is an important part of reducing the complexity of ...
Pavol Partila   +2 more
doaj   +3 more sources

Algorithms of Machines and Law : Risks in Pattern Recognition, Machine Learning and Artificial Intelligence for Justice and Fairness

open access: yesPublic Governance, Administration and Finances Law Review, 2022
Pattern recognition, machine learning and artificial intelligence offer tremendous opportunities for efficient operations, management and governance. They can optimise processes for object, text, graphics, speech and pattern recognition.
Michael Losavio
doaj   +1 more source

Incremental learning in autonomous systems: evolving connectionist systems for on-line image and speech recognition [PDF]

open access: yes, 2009
The paper presents an integrated approach to incremental learning in autonomous systems, that includes both pattern recognition and feature selection. The approach utilizes evolving connectionist systems (ECoS) and is applied on on-line image and speech ...
Kasabov, N, Pang, P., Zhang, D.
core   +1 more source

Mel Frequency Cepstral Coefficients (MFCC) Method and Multiple Adaline Neural Network Model for Speaker Identification

open access: yesJOIV: International Journal on Informatics Visualization, 2023
Speech recognition technology makes human contact with the computer more accessible. There are two phases in the speaker recognition process: capturing or extracting voice features and identifying the speaker's voice pattern based on the voice ...
Sudi Mariyanto Al Sasongko   +3 more
doaj   +1 more source

A Speech Recognizer based on Multiclass SVMs with HMM-Guided Segmentation [PDF]

open access: yes, 2006
Automatic Speech Recognition (ASR) is essentially a problem of pattern classification, however, the time dimension of the speech signal has prevented to pose ASR as a simple static classification problem. Support Vector Machine (SVM) classifiers could
Bernal Chaves, J.   +4 more
core   +2 more sources

Pattern recognition in speech processing [PDF]

open access: yesThe Journal of the Acoustical Society of America, 1984
The determination of linguistic structure from surface patterns in text and speech requires the integration of cues from multiple constraint domains including phonetic features, syllable and morpheme structure, syntax, and semantics together with pragmatics.
openaire   +1 more source

Hybrid methodological approach to context-dependent speech recognition

open access: yesInternational Journal of Advanced Robotic Systems, 2017
Although the importance of contextual information in speech recognition has been acknowledged for a long time now, it has remained clearly underutilized even in state-of-the-art speech recognition systems.
Dragiša Mišković   +5 more
doaj   +1 more source

Realization of Self-Adaptive Higher Teaching Management Based Upon Expression and Speech Multimodal Emotion Recognition

open access: yesFrontiers in Psychology, 2022
In the process of communication between people, everyone will have emotions, and different emotions will have different effects on communication. With the help of external performance information accompanied by emotional expression, such as emotional ...
Huihui Zhou, Zheng Liu, Zheng Liu
doaj   +1 more source

Photonic reservoir computing: a new approach to optical information processing [PDF]

open access: yes, 2010
Despite ever increasing computational power, recognition and classification problems remain challenging to solve. Recently advances have been made by the introduction of the new concept of reservoir computing.
Bienstman, Peter   +5 more
core   +2 more sources

Isolated word recognition system development

open access: yesLietuvos Matematikos Rinkinys, 2003
Isolated word recognition system, based on dynamic time warping, was developed. Speech patterns are represented by LPC, cepstral and weighted cepstral coefficients.
Gintautas Tamulevičius, Antanas Lipeika
doaj   +3 more sources

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