Results 41 to 50 of about 28,361 (199)
Wavelet based feature combination for recognition of emotions
Ain Shams Engineering Journal, 2018 In this paper, authors tried to develop reduced combinational features for emotional speech recognition. The spectral/cepstral features like wavelet coefficient, LPCC (linear prediction cepstral coefficient) and MFCC (mel-frequency cepstral coefficient ...
Hemanta Kumar Palo +1 more
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Footstep Recognition Using Mel Frequency Cepstral Coefficients and Artificial Neural Network
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020 Footstep recognition is relatively new biometrics and based on the learning of footsteps signals captured from people walking on the sensing area.
Thasya Nurul Wulandari Siagian +2 more
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Mel Frequency Cepstral Coefficient: A Review [PDF]
Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India, 2021 Shalbbya Ali +3 more
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Fusion of Linear and Mel Frequency Cepstral Coefficients for Automatic Classification of Reptiles [PDF]
Applied Sciences, 2017 Bioacoustic research of reptile calls and vocalizations has been limited due to the general consideration that they are voiceless. However, several species of geckos, turtles, and crocodiles are abletoproducesimpleandevencomplexvocalizationswhicharespecies-specific.Thisworkpresents a novel approach for the automatic taxonomic identification of reptiles ...
Juan Noda +2 more
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, 2014 We propose a method for minimum mean-square error (MMSE) estimation of mel-frequency cepstral features for noise robust automatic speech recognition (ASR).
Tan, Zheng-Hua; id_orcid +3 more
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Sistem Pengenalan Penutur dengan Metode Mel-frequency Wrapping
, 2008 Speaker recognition is the process of identifying a person based on his voice. Speaker recognition has several useful applications including biometric authentication and intuitive human computer interaction. the Mel Frequency Cepstral Coefficients (MFCC)
Mustofa, Ali
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Analysis of acoustic voice parameters for larynx pathology detection
Informatika, 2020 The comparative study of two types of voice signal representation for larynx pathology detection is presented. Parameters obtained in clinical system lingWaves compared to parameters obtained by mel-frequency cepstral analysis.
M. I. Vashkevich +3 more
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Mel-frequency cepstral coefficient-based bandwidth extension of narrowband speech [PDF]
Interspeech 2008, 2008 Abstract We present a novel MFCC-based scheme for the BandwidthExtension (BWE) of narrowband speech. BWE is based onthe assumption that narrowband speech (0.3–3.4 kHz) cor-relates closely with the highband signal (3.4–7 kHz), en-abling estimation of the highband frequency content given thenarrow band.
Amr H. Nour-Eldin, Peter Kabal
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IEEE Access, 2023 The main bearing is the core component of gas-fired generator, and its reliability directly affects the stability of the whole system. Therefore, it is of great significance to study the fault diagnosis of the main bearing of gas-fired generator.
Yunji Zhao +3 more
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, 2016 Objective: The objective of this review article is to give a complete review of various techniques that are used for speech recognition purposes overtwo decades.Methods: VAD-Voice Activity Detection, SAD-Speech Activity Detection techniques are discussed
P Mahalakshmi
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