Results 61 to 70 of about 3,612,587 (208)
Fuzzy logic system for abnormal audio event detection using mel frequency cepstral coefficients
, 2017 This paper presents a fuzzy logic system for audio event detection using mel frequency cepstral coefficients (MFCC). Twelve MFCC of audio samples were analyzed. The range of values of MFCC were obtained including its histogram.
Dadula, Cristina P., Dadios, Elmer P.
core +2 more sources
Journal of Applied Informatics and ComputingAutomated 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 +5 more
doaj +1 more source
Aplikasi Identifikasi Suara Hewan Menggunakan Metode Mel-Frequency Cepstral Coefficients (MFCC)
Journal of Informatics, Information System, Software Engineering and Applications (INISTA), 2019 Pengenalan suara berada dibawah bidang komputasi linguistik. Hal ini mencakup identifikasi, pengakuan, dan terjemahan ucapan yang terdeteksi ke dalam teks oleh komputer. Penelitian ini menggunakan handphone dan sistem yang dirancang menggunakan suara.
openaire +2 more sources
Jurnal Online Informatika, 2021 Audio forensics is the application of science and scientific methods in handling digital evidence in the form of audio. In this regard, the audio supports the disclosure of various criminal cases and reveals the necessary information needed in the trial process.
Helmy Dzulfikar +2 more
openaire +2 more sources
, 2021 Biometrik merupakan salah satu metode yang dapat digunakan sebagai keamanan perangkat. Salah satu jenis biometrik yang banyak digunakan yaitu biometrik dengan input suara.
Radityo, Muhammad Rafif
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Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, Volume 38, Issue 40, 17 July 2026.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Discriminative Training Using Noise Robust Integrated Features and Refined HMM Modeling
Journal of Intelligent Systems, 2018 The classical approach to build an automatic speech recognition (ASR) system uses different feature extraction methods at the front end and various parameter classification techniques at the back end.
Dua Mohit +2 more
doaj +1 more source
Developmental Science, Volume 29, Issue 4, July 2026.ABSTRACT Human newborns are able to discriminate between certain languages but not others. This ability has long been attributed to sensitivity to rhythm—the temporal regularities in speech of different languages. Here, we demonstrate through a series of computational simulations that this discrimination behavior can be achieved using no temporal ...
Ruolan Leslie Famularo +3 more
wiley +1 more source
Comparison of Selected Classification Methods in Automatic Speaker Identification
Communications, 2011 This paper presents performance comparison of three different classifiers applied in Automatic SpeakeR Identification: Gaussian Mixture Model (GMM), k Nearest Neighbor algorithm (kNN) and Support Vector Machines (SVM).
Martin Hric +2 more
doaj +1 more source
Use of Mel Frequency Cepstral Coefficients for Automatic Pathology Detection on Sustained Vowel Phonations: Mathematical and Statistical Justification [PDF]
, 2008 This paper presents a justification for the use of MFCC parameters in automatic pathology detection on speech. While such an application has produced good results up to now, only partial explanations to this good performance had been given before.
Sáenz Lechón, Nicolas +4 more
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