Results 61 to 70 of about 4,142,577 (212)

Efficient Masked Autoencoder for Birdsong Representation with Applications on Wild Bird Species Classification

open access: yesIntegrative Zoology, EarlyView.
Research on mosquito feeding preferences and the malaria parasites they transmit is essential for understanding the interactions between hosts, vectors, and parasites. In this study, vertebrate hosts were identified in 72 mosquitoes. Most blood meals (58.7%) came from birds, representing 25 species, while 40.0% came from mammals (13 species), and 1.3 ...
Qin Zhang   +8 more
wiley   +1 more source

Mel-cepstral Methods For Image Feature Extraction [PDF]

open access: yes, 2010
A feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum which is widely used in speech recognition is extended to 2D in this article.
Çakır, Serdar   +4 more
core   +1 more source

Combining Voiceprint Feature Extraction With Deep Learning Based Classifiers for Early Chronic Obstructive Pulmonary Disease Screening

open access: yesVector: The Journal of Engineering, Volume 2027, Issue 1, January/December 2027.
Graphic Abstract (GA) presents an overview of the CNN‐based classification process, which consists of several convolutional layers, several pooling layers, and a classification layer. Multilayer CNNs are capable of automatic feature enhancement, denoising, feature extraction, and pattern recognition tasks, and they have been applied in automatic ...
Pi‐Yun Chen   +6 more
wiley   +1 more source

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

open access: yesConcurrency 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   +3 more
wiley   +1 more source

Speech Emotion Recognition Method Based on Support Vector Machine and Suprasegmental Acoustic Features

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники
The problem of recognizing emotions in a speech signal using mel-frequency cepstral coefficients using a classifier based on the support vector machine has been studied. The RAVDESS data set was used in the experiments.
D. V. Krasnoproshin, M. I. Vashkevich
doaj   +1 more source

The Impact of Speaking Style on Speaker Classification Using Mel-Frequency Cepstral Coefficients [PDF]

open access: yesزبان پژوهی
This research investigates the impact of different speaking styles (read and spontaneous) on speaker identification accuracy. Mel-Frequency Cepstral Coefficients (MFCCs) were employed as input features, and the Random Forest algorithm was used for ...
Homa Asadi
doaj   +1 more source

The Capacity Of Mel Frequency Cepstral Coefficients For Speech Recognition

open access: yes, 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 task that requires different stages before obtaining the desired output.
Al-Anzi, Fawaz S., Dia AbuZeina
openaire   +2 more sources

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

open access: yesEngineering 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   +2 more
wiley   +1 more source

Robust Speaker Recognition Using Perceptual Stationary Wavelet Coefficients and Prosodic Feature in Noisy Conditions

open access: yesIEEE Access
Wavelet-based front-ends have been extensively utilized in speech processing systems, particularly for recognizing speech and speakers, and have significantly improved their performance.
Ibrahim Missaoui, Zied Lachiri
doaj   +1 more source

Polarization Engineering in Vinylene‐Linked COFs Toward Efficient Neuromorphic Computing

open access: yesAdvanced 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   +5 more
wiley   +1 more source

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