Results 11 to 20 of about 3,633,480 (246)
Applied Sciences, 2023 Recently, neural network technology has shown remarkable progress in speech recognition, including word classification, emotion recognition, and identity recognition. This paper introduces three novel speaker recognition methods to improve accuracy.
Young-Long Chen +3 more
doaj +5 more sources
Structural Health Monitoring, 2023 Bridge damage detection using vibration data has been confirmed as a promising approach. Compared to the traditional method that typically needs to install sensors or systems directly on bridges, the drive-by bridge damage detection method has gained ...
Weiwei Lin, Zhenkun Li, Youqi Zhang
exaly +3 more sources
Identification of Language using Mel-Frequency Cepstral Coefficients (MFCC) [PDF]
Procedia Engineering, 2012 AbstractThis paper focuses on the task of identifying a language from speech signal. In this paper, we have use Mel-frequency cepstral coefficient as features. Language identification models are developed for fifteen Indian languages namely Assamese, Bangla, Guajarati, Hindi, Kannada, Kashmiri, Malayalam, Marathi, Nepali, Oriya, Punjabi, Rajasthani ...
Koolagudi, Shashidhar G. +2 more
exaly +3 more sources
Sustainability, 2022 In this paper, a drive-by damage detection methodology for high-speed railway (HSR) bridges is addressed, to appraise the application of Mel-frequency cepstral coefficients (MFCC) to extract the Damage Index (DI).
Tulio Bittencourt +2 more
exaly +2 more sources
Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies [PDF]
PLoS OneThis paper seeks to enhance the performance of Mel Frequency Cepstral Coefficients (MFCCs) for detecting abnormal heart sounds. Heart sounds are first pre-processed to remove noise and then segmented into S1, systole, S2, and diastole intervals, with ...
M. Hosseinzadeh +10 more
semanticscholar +2 more sources
A cough-based Covid-19 detection with gammatone and mel-frequency cepstral coefficients [PDF]
Diagnostyka, 2023 Many countries have adopted a public health approach that aims to address the particular challenges faced during the pandemic Coronavirus disease 2019 (COVID-19).
Elmehdi Benmalek +3 more
doaj +2 more sources
Using Mel-Frequency Cepstral Coefficients in Missing Data Technique [PDF]
EURASIP Journal on Advances in Signal Processing, 2004 Filter bank is the most common feature being employed in the research of the marginalisation approaches for robust speech recognition due to its simplicity in detecting the unreliable data in the frequency domain.
Gang Wei +3 more
doaj +3 more sources
Voice authentication module using mel-cepstral coefficients [PDF]
Вестник Дагестанского государственного технического университета: Технические наукиObjective. The purpose of the study is to develop and apply a method for extracting information about the identity of users from recordings of their voices using the calculation of mel-cepstral coefficients.Method.
D. A. Elizarov +2 more
doaj +2 more sources
HSD-Net: a dual-branch CNN-BiLSTM network with hybrid cepstral fusion for heart sound classification [PDF]
Frontiers in Medical TechnologyIntroductionCardiovascular diseases (CVDs) represent a major global health threat, making early detection crucial. While cardiac auscultation is cost-effective, its reliance on clinical expertise leads to significant variability in diagnostic accuracy ...
Caijian Hua +3 more
doaj +2 more sources
Gearbox Fault Diagnosis Based on Mel-Frequency Cepstral Coefficients and Support Vector Machine
IFIP Advances in Information and Communication Technology, 2018 The enhancement of the machine condition monitoring process is a key issue for reliability improvement. In fact, in order to produce quickly, economically, with high quality while decreasing the risk of production break due to a machine stop, it is ...
Tarak Benkedjouh
exaly +2 more sources