Results 71 to 80 of about 3,790,103 (166)
On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection
Expert SystemsABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods.
Sergio A. Falcón-López +3 more
openaire +2 more sources
<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
core +1 more source
Hyperbolically-Warped Cepstral Coefficients for Improved Micro-Doppler Classification
, 2016 Mel-frequency cepstrum coefficients (MFCC) have been used in many recent works as features for micro-Doppler classification. Originally proposed as features for speech recognition, the filter bank applied as part of the computation of the MFCC is ...
Gurbuz, Sevgi Zubeyde, Erol, Baris
core +1 more source
Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities
Bipolar Disorders, Volume 28, Issue 5, August 2026.ABSTRACT Background Clinicians aspire to predict the emergence of Bipolar Disorder (BD) in a timely manner. To accomplish this, markers reflecting mental states that can be gathered non‐invasively and at large scale are needed. Here, we systematically evaluate evidence relating speech‐based markers to mood states in BD.
Farida Zaher +4 more
wiley +1 more source
Automatic Speaker Recognition Based on Mel-Frequency Cepstral Coefficients and Gaussian Mixture Models [PDF]
Mehran University Research Journal of Engineering and Technology, 2013 This paper investigates the task of SR (Speaker Recognition) for the state-of-the-art techniques. The paper initially presents the technical description of automatic SR, followed by the comparative analysis of a number of methods available for feature ...
Sheeraz Memon +2 more
doaj
Fusion of Linear and Mel Frequency Cepstral Coefficients for Automatic Classification of Reptiles
Applied Sciences, 2017 Bioacoustic research of reptile calls and vocalizations has been limited due to the general consideration that they are voiceless.
Juan J. Noda +2 more
doaj +1 more source
, 2014 We propose a method for minimum mean-square error (MMSE) estimation of mel-frequency cepstral features for noise robust automatic speech recognition (ASR).
Tan, Zheng-Hua; id_orcid +3 more
core +1 more source
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
HSD-Net: a dual-branch CNN-BiLSTM network with hybrid cepstral fusion for heart sound classification
Frontiers in Medical TechnologyIntroductionCardiovascular diseases (CVDs) represent a major global health threat, making early detection crucial. While cardiac auscultation is cost-effective, its reliance on clinical expertise leads to significant variability in diagnostic accuracy ...
Caijian Hua +3 more
doaj +1 more source
, 2004 The effectiveness of higher-order spectral (HOS) phase features in speaker recognition is investigated by comparison with Mel Cepstral features on the same speech data.
Sridharan, Subramanian +5 more
core +1 more source