Results 11 to 20 of about 25,464 (256)
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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Applied Sciences, 2022 The performance of speaker recognition systems is very well on the datasets without noise and mismatch. However, the performance gets degraded with the environmental noises, channel variation, physical and behavioral changes in speaker.
Wondimu Lambamo +2 more
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Melatonin regulates microglial polarization to M2 cell via RhoA/ROCK signaling pathway in epilepsy
Immunity, Inflammation and Disease, 2023 Background Melatonin (MEL), an endogenous hormone, has been widely investigated in neurological diseases. Microglia (MG), a resident immunocyte localizing in central nervous system is reported to play important functions in the animal model of temporal ...
Pingping Li +9 more
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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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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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Rotating Machinery State Recognition Based on Mel-Spectrum and Transfer Learning
Aerospace, 2023 During drilling into the soil, the rotating mechanical structure will be affected by soil particles and external disturbances, affecting the health of the rotating mechanical structure.
Fan Li +8 more
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Vìsnik Nacìonalʹnogo Tehnìčnogo Unìversitetu Ukraïni Kììvsʹkij Polìtehnìčnij Ìnstitut: Serìâ Radìotehnìka, Radìoaparatobuduvannâ, 2021 The study is dedicated to the issue of investigation of the lung sounds digital analysis processing methods, searching for new informative features of pathological respiratory sounds and using machine learning methods for classifying the state of the ...
H. S. Porieva +3 more
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Sound Texture Generative Model Guided by a Lossless Mel-Frequency Convolutional Neural Network
IEEE Access, 2018 Rainstorms, insect swarms, and galloping horses produce “sound textures,”which are the resulting natural sounds of many similar acoustic events.
Weiwei Liu +4 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.
Xinhui Zhou +4 more
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