Results 71 to 80 of about 6,514 (211)
Mandarin speech‐based early detection of SCD: a feature‐fusion residual network method
Alzheimer's &Dementia, Volume 22, Issue 5, May 2026.Abstract INTRODUCTION Alzheimer's disease (AD) poses a global health challenge. Early intervention during the stage of subjective cognitive decline (SCD) – a potential window for delaying disease progression – is crucial. This study aims to assess an exploratory speech‐based model for rapid SCD screening.
Zhou Liu +6 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 5, May 2026.Flow chart of the base sound trace extraction of speech. ABSTRACT With the acceleration of internationalization, the deficiency of traditional English classroom in English spoken teaching is becoming more obvious, especially the lack of effectiveness and immediate feedback. Therefore, a spoken English assisted training model is proposed.
Lubing Shang, Lu Ma
wiley +1 more source
Cepstral Coefficients Effectiveness for Gunshot Classifying [PDF]
This paper analyses the efficiency of various frequency cepstral coefficients (fCC) in a non-speech application, specifically in classifying acoustic impulse events - gunshots. There are various methods for such event identification available.
Holub J., Svatoš J.
core +1 more source
Fusion of Linear and Mel Frequency Cepstral Coefficients for Automatic Classification of Reptiles
Applied Sciences, 2017 Bioacoustic research of reptile calls and vocalizations has been limited due to the general consideration that they are voiceless.
Juan J. Noda +2 more
doaj +1 more source
Automatic Speaker Recognition Based on Mel-Frequency Cepstral Coefficients and Gaussian Mixture Models [PDF]
Mehran University Research Journal of Engineering and Technology, 2013 This paper investigates the task of SR (Speaker Recognition) for the state-of-the-art techniques. The paper initially presents the technical description of automatic SR, followed by the comparative analysis of a number of methods available for feature ...
Sheeraz Memon +2 more
doaj
A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition
Advanced Science, Volume 13, Issue 19, 2 April 2026.In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu +10 more
wiley +1 more source
On Compensating the Mel-Frequency Cepstral Coefficients
, 2008 This paper describes a novel noise-robust automatic speech recognition (ASR) front-end that employs a combination of Mel-filterbank output compensation and cumulative distribution mapping of cepstral coefficients with truncated Gaussian distribution ...
For Noisy Speech, Eric H. C. Choi
core
Automated classification of vowel category and speaker type in the high-frequency spectrum
Audiology Research, 2016 The high-frequency region of vowel signals (above the third formant or F3) has received little research attention. Recent evidence, however, has documented the perceptual utility of high-frequency information in the speech signal above the traditional ...
Jeremy J. Donai +2 more
doaj +1 more source
Palmprint recognition based on Mel frequency Cepstral coefficients feature extraction
, 2010 Palmprint identification is a measurement of palmprint features for recognizing the identity of a user. Palmprint is universal, easy to capture and it does not change much across time.
Maged M.M. Fahmy, Fahmy, Maged M.M.
core +1 more source
Results in EngineeringKnocking-sound analysis provides a non-destructive method for assessing durian ripeness; however, most convolutional neural network methods mainly emphasize magnitude information while disregarding phase information that reflects the overall signal ...
Khomdet Phapatanaburi +7 more
doaj +1 more source