Results 71 to 80 of about 3,612,587 (208)

The Capacity of Mel Frequency Cepstral Coefficients for Speech Recognition

, 2017
Speech recognition is of an important contribution in promoting new technologies in human computer interaction. Today, there is a growing need to employ speech technology in daily life and business activities. However, speech recognition is a challenging
Dia AbuZeina, Fawaz S. Al-Anzi
core   +1 more source

Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition

Applied AI Letters, Volume 7, Issue 2, June 2026.
Our Self‐Supervised Feature Fusion (SSF‐FT) method enhances low‐resource speech recognition by adaptively combining features from self‐supervised models trained with Contrastive, Predictive, and Reconstruction objectives. This attention‐weighted ensemble delivers robust performance, particularly in acoustically challenging conditions, extending current
Ussen Kimanuka, Ciira wa Maina, Osman Büyük   +2 more
wiley   +1 more source

Application of Music Data Visualization Technology in Music Appreciation Teaching

Engineering Reports, Volume 8, Issue 6, June 2026.
The simulation environment is used to simulate real‐world music appreciation scenarios. DL is employed to preprocess music data, extract features, and identify rhythm information, which is then associated with visual design parameters to construct a parametric model.
Xiaowei Chen
wiley   +1 more source

Identificación de instrumentos musicales a partir del algoritmo MFCC (Mel Frequency Cepstral Coefficient)

, 2020
En las agrupaciones musicales sinfónicas, existen ocasiones donde no se consigue un buen balance auditivo. Esto es generalmente ocasionado por enmascaramientos de unos instrumentos con otros. Asimismo, a la hora de llevar a cabo un acto musical,no se consideran diferentes factores como el nivel sonoro, que por lo general es un inconveniente a nivel ...
openaire   +1 more source

Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model [PDF]

, 2008
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-based feature domain enhancement of speech signals for use in robust speech ...
R.J. Povinelli, Indrebo, Kevin M., Johnson, Michael T, M.T. Johnson, K.M. Indrebo, Povinelli, Richard J.   +5 more
core   +1 more source

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

Statistically Significant Duration-Independent-based Noise-Robust Speaker Verification [PDF]

International Journal of Mathematical, Engineering and Management Sciences
A speaker verification system models individual speakers using different speech features to improve their robustness. However, redundant features degrade the system's performance.
Asmita Nirmal, Deepak Jayaswal, Pramod H. Kachare   +2 more
doaj   +1 more source

Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques

CoRR, 2010
Digital processing of speech signal and voice recognition algorithm is very important for fast and accurate automatic voice recognition technology. The voice is a signal of infinite information. A direct analysis and synthesizing the complex voice signal is due to too much information contained in the signal. Therefore the digital signal processes such
Lindasalwa Muda, Mumtaj Begam, I. Elamvazuthi   +2 more
openaire   +3 more sources

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