Results 11 to 20 of about 4,142,577 (212)
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
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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
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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
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Application of Teager Energy Operator on Linear and Mel Scales for Whispered Speech Recognition [PDF]
Archives of Acoustics, 2018 This paper presents experimental results on whispered speech recognition based on Teager Energy Operator for linear and mel cepstral coefficients including the Cepstral Mean Subtraction normalization technique.
Branko R MARKOVIĆ +2 more
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Linear Versus Mel Frequency Cepstral Coefficients for Speaker Recognition [PDF]
2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011 Mel-frequency cepstral coefficients (MFCC) have been dominantly used in speaker recognition as well as in speech recognition. However, based on theories in speech production, some speaker characteristics associated with the structure of the vocal tract, particularly the vocal tract length, are reflected more in the high frequency range of speech.
Ramani Duraiswami +2 more
exaly +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
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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
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Footstep Recognition Using Mel Frequency Cepstral Coefficients and Artificial Neural Network [PDF]
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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Identification of Language Using Mel-Frequency Cepstral Coefficients (MFCC)
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 ...
Shashidhar G Koolagudi
exaly +2 more sources
Analysis of COVID-19 Heavy Cough Sounds Using Bark Wavelet Cepstral Coefficients [PDF]
The Egyptian International Journal of Engineering Sciences and Technology, 2022 Coronavirus is known as COVID-19. It spreads in all over the world as pandemic. Until writing this paper, 164.5 million person worldwide is affected with this disease. Over 3.4 million people are died due to that disease.
Mohamed Azmy
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