Regional language Speech Emotion Detection using Deep Neural Network [PDF]
ITM Web of Conferences, 2022 Speaking is the most basic and efficient mode of human contact. Emotions assist people in communicating and understanding others’ viewpoints by transmitting sentiments and providing feedback.The basic objective of speech emotion recognition is to enable ...
Padman Sweta, Magare Dhiraj
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Application of Teager Energy Operator on Linear and Mel Scales for Whispered Speech Recognition
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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Classifying Heart-Sound Signals Based on CNN Trained on MelSpectrum and Log-MelSpectrum Features
Bioengineering, 2023 The intelligent classification of heart-sound signals can assist clinicians in the rapid diagnosis of cardiovascular diseases. Mel-frequency cepstral coefficients (MelSpectrums) and log Mel-frequency cepstral coefficients (Log-MelSpectrums) based on a ...
Wei Chen +8 more
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Feature extraction method for reflective sound signal of high pressure water-jet target
Gong-kuang zidonghua, 2014 In order to improve recognition rate of target materials by using reflective sound signal of high pressure water-jet, in view of four common targets of mine, stone, brick and wood block, different feature extraction methods were used to identify target ...
SUN Shuai +4 more
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The Mel-Frequency Cepstral Coefficients In The Context Of Singer Identification. [PDF]
, 2005 [TODO] Add abstract here.
Annamaria Mesaros, Jaakko Astola
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MFCC-Based Sound Classification of Honey Bees [PDF]
International Journal of Electronics and Telecommunications—Smart beekeeping is a rapidly developing field. Automated detection and classification of honey bees opens many new opportunities for studies on their behavior.
Urszula Libal, Pawel Biernacki
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International Journal of Interactive Multimedia and Artificial Intelligence, 2022 The speech signal within a sub-band varies at a fine level depending on the type, and level of dysarthria. The Mel-frequency filterbank used in the computation process of cepstral coefficients smoothed out this fine level information in the higher ...
Laxmi Priya Sahu +2 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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Discriminant Analysis of Voice Commands in the Presence of an Unmanned Aerial Vehicle
Information, 2021 The aim of this study was to perform discriminant analysis of voice commands in the presence of an unmanned aerial vehicle equipped with four rotating propellers, as well as to obtain background sound levels and speech intelligibility.
Marzena Mięsikowska
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A cough-based Covid-19 detection with gammatone and mel-frequency cepstral coefficients
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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