Results 61 to 70 of about 3,813 (182)

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

Implementation and Performance Analysis of Mel Frequency Cepstral Coefficient Features in Dangdut Music Sub-Genre Classification

Journal of Applied Informatics and Computing
This study investigates the classification of dangdut music sub-genres using Mel-Frequency Cepstral Coefficients (MFCC) and machine learning approaches.
I Nyoman Surya Jaya, Tria Hikmah Fratiwi, I Gede Harsemadi, I Dewa Made Dharma Putra Santika, Ni Putu Nanda Maharani, Putu Andiny Julia Putri Rapayana   +5 more
doaj   +1 more source

SPEAKER IDENTIFICATION SYSTEM USING AUDIO SIGNAL AND DEEP LEARNING METHOD [PDF]

Proceedings on Engineering Sciences
Automatic Speaker Identification (ASI) does not result in high accuracy, so it is essential to develop a highly accurate Speaker Identification (SI) system. Artificial Intelligence has shown remarkable improvement in the development of such systems using
Neelam Nehra , Pardeep Sangwan , Neelu Trivedi   +2 more
doaj   +1 more source

Gate‐Align‐SED: Semi‐Supervised Sound Event Detection via Adaptive Feature Gating and Cross‐Task Alignment in Situation Awareness

Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen, Li‐Minn Ang, Chee Shen Lim, Kah Phooi Seng, Jeremy Smith   +4 more
wiley   +1 more source

Accuracy Comparison of Support Vector Machine, Random Forest, and K-Nearest Neighbors for Sundanese Speech Classification

JISA (Jurnal Informatika dan Sains)
To support the preservation of the Sundanese language, speech recognition systems based on machine learning canbe developed. This study aims to evaluate and compare the classification performance of Support Vector Machine, Random Forest, and K-Nearest ...
Laela Nur Rohmah, Abdul Halim Anshor, Wahyu Hadikristanto   +2 more
doaj   +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

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

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

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