Results 71 to 80 of about 8,304 (223)

Construction and Application of GAN Enhanced Virtual Interpretation Model for Sports Communication

Engineering Reports, Volume 8, Issue 6, June 2026.
This model is an end‐to‐end framework. Firstly, the style‐based generation network Style‐based GAN2 (StyleGAN2) is used to generate a highly realistic and adjustable static narrator portrait. Then, Bi‐directional Long Short‐Term Memory (Bi‐LSTM) is used to encode the Mel‐frequency Cepstral Coefficients (MFCCs), phonemes, and prosodic features of the ...
Li Zhang, Hongyuan Xie, Jun Zhang, Ying Yang   +3 more
wiley   +1 more source

Optoelectronic Control of Redox Dynamics in POM Memristors for Noise‐Resilient Speech and Hardware‐Level Motion Recognition

Advanced Functional Materials, Volume 36, Issue 37, 7 May 2026.
Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma, Ziyu Lv, Guohua Zhang, Zhongyue Xu, Yongbiao Zhai, Haiming Huang, Qiyan Zhang, Xiaojin Zhao, Yan Wang, Ye Zhou, Ziyu Xiong, Guanglong Ding, Wentao Xu, Su‐Ting Han   +13 more
wiley   +1 more source

Heart Sound Analysis Using MFCC and Time Frequency Distribution [PDF]

, 2006
This paper presents heart sound analysis method based on Time-Frequency Distribution (TFD) analysis and Mel Frequency Cepstrum Coefficient (MFCC). TFD represents the heart sound in term of time and frequency simultaneously which while the MFCC defines a ...
J., M. Najeb, Arif, A. K., Sh-Hussain. Salleh, A. K. Ariff, A. Chowdhury, Ismail, Kamarulafizam, Salleh, Sh. Hussain, I. Kamarulafizam, J. M. Najeb, Chowdhury, A.   +9 more
core   +1 more source

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, Chao Che, Guimei He, Hanyu Wu, Lei Cai, Lili Cui, Lizhong Liang   +6 more
wiley   +1 more source

Fault diagnosis method for underground coal mining equipment audio signals based on improved transfer learning

Gong-kuang zidonghua
The underground production environment in coal mines is harsh, and key equipment such as gas pumps, ventilators, and coal shearers often operate continuously, making them susceptible to faults.
QIU Ji'er, WANG Qi, WANG Peng
doaj   +1 more source

Spoken English Assisted Training Model Based on Multifeature Parameters and Dynamic Time Warping Algorithm

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

GMM based Language Identification using MFCC and SDC Features [PDF]

, 2014
- Language Identification (LID) is one of the most popular areas of research in speech signal processing. Now a day’s lots of approaches have been used to improve performance of LID system which includes Parallel Phone Recognition Language Modeling ...
Kshirod Sarmah, Utpal Bhattacharjee
core  

Dilated-Convolutional Recurent Neural Network untuk Klasifikasi Genre Musik

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Dalam era digital, pemanfaatan teknologi untuk mengelompokkan genre musik secara otomatis menjadi sangat penting, terutama untuk aplikasi seperti rekomendasi musik, analisis tren musik, dan pengelolaan perpustakaan musik digital.
Mochammad Rizqul Fatichin, Alfado Rafly Hermawan, Raynaldi Anggiat Samuel Siahaan, Rarasmaya Indraswari   +3 more
doaj   +1 more source

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López, Llanos Tobarra, Antonio Robles‐Gómez, Rafael Pastor‐Vargas   +3 more
wiley   +1 more source

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, Guanming Lin, Xiaohui Hong, Chuting Liu, Xinyi Qu, Kangjian Jiao, Lei Zhang, Bingzhe Xu, Jun Yan, Yancong Qiao, Xudong Lin   +10 more
wiley   +1 more source