Results 71 to 80 of about 3,610,992 (210)
Доклады Белорусского государственного университета информатики и радиоэлектроникиThe 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
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The Impact of Speaking Style on Speaker Classification Using Mel-Frequency Cepstral Coefficients [PDF]
زبان پژوهیThis 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
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Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition
Advanced Intelligent Systems, Volume 8, Issue 9, September 2026.A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki +8 more
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IEEE AccessWavelet-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
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Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare +3 more
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ARO-The Scientific Journal of Koya University, 2020 A new technique of hiding a speech signal clip inside a digital color image is proposed in this paper to improve steganography security and loading capacity.
Yazen A. Khaleel
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Machine learning‐assisted vibrational detection and classification of drywood termite infestations
Approaches in Entomology: Methods, Philosophies, and Ethics, Volume 1, Issue 1, August‐December 2026.Vibratory recordings combined with machine learning accurately detected drywood termite infestations within wood using a fully non‐destructive sensing approach. Models successfully classified termite presence and infestation intensity (empty, low, high density), achieving over 80% accuracy in both internal and external validation.
Lírio Cosme +2 more
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<p>For a project description please look at <a href="https://github.com/jasminsternkopf/mel_cepstral_distance">GitHub</a>/<a href="https://pypi.org/project/mel-cepstral-distance">PyPI</a>.</p ...
Taubert, Stefan, Sternkopf, Jasmin
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Neonatal Pathology Classification From Infant Cry Signals Using a Multi-Branch Graph Neural Network
IEEE AccessEven today, the precise and noninvasive identification of neonatal diseases from infant cry signals remains challenging due to the nonstationary and acoustic heterogeneity of cry patterns.
Layth Herzallah +4 more
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Design Patterns for the Development and Implementation of Bioacoustic Deep Learning Recognizers
Ecology and Evolution, Volume 16, Issue 8, August 2026.This paper presents a set of design patterns for developing and integrating Convolutional Neural Network (CNN) recognizers in bioacoustic monitoring programs. Using a western toad case study, we illustrate solutions to common challenges in model development and workflow integration. These patterns provide a practical framework to improve the efficiency,
Gavin Hurd +2 more
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