Results 41 to 50 of about 3,875,284 (170)

Bi‐Model Deep Learning Architectures: A Systematic Review of Fusion Strategies and Design Taxonomies

Concurrency and Computation: Practice and Experience, Volume 38, Issue 21, November 2026.
ABSTRACT Bi‐model deep learning, the coordinated use of two complementary models or modalities, has emerged as a powerful paradigm for improving predictive accuracy and robustness in complex real‐world applications. However, existing research remains scattered across domain‐specific studies, with no unified account of the architectural patterns, fusion
Jasmin Z. K. Chu, Joel C. M. Than, Colin C. L. Tan, Ngoc Dinh Tan   +3 more
wiley   +1 more source

Применение mel-кепстрального метода для идентификации акустических сигналов БПЛА [PDF]

, 2018
This report describes the work of calculating the Mel-Frequency Cepstral Coefficients (MFCC). Measurements of characteristics were performed on a real model.
Калиновский, Р. В.
core  

Design and Implementation of an Automated Wheelchair With Voice and Gesture Control, Obstacle Avoidance, and Real‐Time Location Sharing

Engineering Reports, Volume 8, Issue 11, November 2026.
This work presents a standalone smart wheelchair featuring dual voice‐ and gesture‐based control, obstacle avoidance, and real‐time location sharing. The system achieves 100% gesture accuracy and 94% voice accuracy, enabling safe, independent mobility for users with severe physical impairments and providing emergency support without smartphone ...
Md Nurul Huda Rifat, S. M. Fatin Hasnat, Md. Habibur Rahman Aslam   +2 more
wiley   +1 more source

A Comparative Investigation of Cepstral Feature Extraction Methods for Deepfake Speech Detection

Applied Sciences
The widespread adoption of voice-based authentication systems has been accompanied by an escalating threat from deep learning-based synthetic speech generation techniques.
Nida Akıncı, Erdal Özbay
doaj   +1 more source

Automatic Speech Segmentation Using Hybrid Wavelet Features and HMM [PDF]

The Egyptian Journal of Language Engineering, 2016
In this research, a novel feature set is used to automatically segment speech signal. Automatic segmentation is veryuseful especially for large database.
Amr Gody, Manal Shabaan, Amr Saleh
doaj   +1 more source

Polarization Engineering in Vinylene‐Linked COFs Toward Efficient Neuromorphic Computing

Advanced Science, Volume 13, Issue 56, 9 October 2026.
A vinyl‐linked covalent organic framework (COF‐DIBPY) was synthesized on a conductive substrate for memristor applications. Redox reactions and bromide migration enable low‐voltage (0.5V) conductance switching with high analog on/off ratio (15.7). The device was further integrated into a speech emotion recognition system for acoustic simulation and ...
Hao Wang, Lei Zhao, Haoyuan Yao, Qiongshan Zhang, Fuzhen Xuan, Bin Zhang   +5 more
wiley   +1 more source

Hybridisation of Mel Frequency Cepstral Coefficient and Higher Order Spectral Features for Musical Instruments Classification

Archives of Acoustics, 2016
This paper presents the classification of musical instruments using Mel Frequency Cepstral Coefficients (MFCC) and Higher Order Spectral features. MFCC, cepstral, temporal, spectral, and timbral features have been widely used in the task of musical ...
Daulappa Guranna BHALKE, C. B. RAMA RAO, Dattatraya BORMANE   +2 more
doaj   +1 more source

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, Volume 12, Issue 19, 12 October 2026.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

Comparative Evaluation of MFCC and Mel-spectrogram Features for CNN-Based Respiratory Abnormality Detection

Journal of Applied Informatics and Computing
Automated respiratory sound analysis addresses critical limitations in traditional clinical auscultation, particularly high inter-observer variability and limited specialist access in resource-constrained settings.
Simboni Simboni Tege, Kafunda Katalay Pierre, Oshasha Oshasha Fiston, Sylvestre Frey, Albert Ntumba Nkongolo, Biaba Kuya Jirince   +5 more
doaj   +1 more source

Machine Learning for Autism Spectrum Disorder Prediction: A Review of Data Augmentation and Feature Selection Techniques

Health Care Science, Volume 5, Issue 5, Page 514-531, October 2026.
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, social interaction, and repetitive behaviors. Early diagnosis is often hindered by subjective clinical assessments and limited data availability.
Sahar Alkhaibari, Feng Dong
wiley   +1 more source