Results 11 to 20 of about 8,304 (223)
Reconocimiento de patrones de habla usando MFCC y RNA
Visión Electrónica, 2016 En este trabajo se presentan los resultados del diseño y desarrollo de un algoritmo basado en inteligencia artificial para el reconocimiento de patrones de vocablos del idioma español, utilizando Coeficientes Cepstrales en las Frecuencias de Mel o (MFCC),
Olga L. Ramos +2 more
doaj +4 more sources
Optimizing MFCC Parameters for Breathing Phase Detection
SensorsBreathing phase detection is fundamental for various clinical and digital health applications, yet standard Mel Frequency Cepstral Coefficients (MFCCs) settings often limit classification performance. This study systematically optimized MFCC parameters, specifically the number of coefficients, frame length, and hop length, using a proprietary dataset ...
Assel K. Zhantleuova +2 more
openaire +3 more sources
Newborns' Language Discrimination May Not Reflect Sensitivity to Speech Rhythm: Evidence From Computational Modeling [PDF]
Developmental Science, Volume 29, Issue 4, July 2026.ABSTRACT Human newborns are able to discriminate between certain languages but not others. This ability has long been attributed to sensitivity to rhythm—the temporal regularities in speech of different languages. Here, we demonstrate through a series of computational simulations that this discrimination behavior can be achieved using no temporal ...
Ruolan Leslie Famularo +3 more
wiley +2 more sources
Traffic State Evaluation Using Traffic Noise
IEEE Access, 2020 Traffic state information is widely applied into all aspects of Intelligent Transportation System (ITS), such as the macro-control of government departments, the implementation of traffic managers' plans, the decision-making of residents travel, and so ...
Qinglu Ma, Zheng Zou
doaj +1 more source
Journal of Information and Telecommunication, 2022 Analysing the human voice has always been a challenge to the engineering society for various purposes such as product review, emotional state detection, developing AI, and much more.
Mohammad Amaz Uddin +3 more
doaj +1 more source
Speaker Recognition Systems in the Last Decade – A Survey [PDF]
Engineering and Technology Journal, 2021 Speaker Recognition Defined by the process of recognizing a person by his\her voice through specific features that extract from his\her voice signal. An Automatic Speaker recognition (ASP) is a biometric authentication system.
Ahmed M. Ahmed, Aliaa K. Hassan
doaj +1 more source
Speech Recognition Algorithm in a Noisy Environment Based on Power Normalized Cepstral Coefficient and Modified Weighted-KNN [PDF]
Engineering and Technology Journal, 2023 Speech recognition is widely used in robot control and automation. Nevertheless, the use of speech recognition in robots is limited due to its susceptibility to background noise.
Mohammed Safi, Eyad Abbas
doaj +1 more source
A Novel S-LDA Features for Automatic Emotion Recognition from Speech using 1-D CNN [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2022 Emotions are explicit and serious mental activities, which find expression in speech, body gestures and facial features, etc. Speech is a fast, effective and the most convenient mode of human communication.
Pradeep Tiwari, A. D. Darji
doaj +1 more source
Acta Acustica, 2023 Quantifying auditory perception of blending between sound sources is a relevant topic in music perception, but remains poorly explored due to its complex and multidimensional nature.
Thilakan Jithin +3 more
doaj +1 more source
Analysis of MFCC and Multitaper MFCC Feature Extraction Methods
International Journal of Computer Applications, 2015 In speech & audio applications, short-term signal spectrum is often represented using mel-freuency cepstral coefficient (MFCC) computed from a windowed discrete Fourier transform (DFT). Windowing reduces spectral leakage but variance of the spectrum estimate remains high. An extension to windowed DFT is called multitaper method which uses multiple time
S.K. Bhatia, Rupali G.
openaire +1 more source