Results 11 to 20 of about 3,617,625 (210)
Applied Sciences, 2023 Recently, neural network technology has shown remarkable progress in speech recognition, including word classification, emotion recognition, and identity recognition. This paper introduces three novel speaker recognition methods to improve accuracy.
Young-Long Chen +3 more
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A cough-based Covid-19 detection with gammatone and mel-frequency cepstral coefficients [PDF]
Diagnostyka, 2023 Many countries have adopted a public health approach that aims to address the particular challenges faced during the pandemic Coronavirus disease 2019 (COVID-19).
Elmehdi Benmalek +3 more
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Voice authentication module using mel-cepstral coefficients [PDF]
Вестник Дагестанского государственного технического университета: Технические наукиObjective. The purpose of the study is to develop and apply a method for extracting information about the identity of users from recordings of their voices using the calculation of mel-cepstral coefficients.Method.
D. A. Elizarov +2 more
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HSD-Net: a dual-branch CNN-BiLSTM network with hybrid cepstral fusion for heart sound classification [PDF]
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
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Using Mel-Frequency Cepstral Coefficients in Missing Data Technique [PDF]
EURASIP Journal on Advances in Signal Processing, 2004 Filter bank is the most common feature being employed in the research of the marginalisation approaches for robust speech recognition due to its simplicity in detecting the unreliable data in the frequency domain.
Gang Wei +3 more
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Mel-frequency Cepstral Coefficients for Eye Movement Identification
2012 IEEE 24th International Conference on Tools with Artificial Intelligence, 2012 Human identification is an important task for various activities in society. In this paper, we consider the problem of human identification using eye movement information. This problem, which is usually called the eye movement identification problem, can be solved by training a multiclass classification model to predict a person's identity from his or ...
Viet Cuong Nguyen +2 more
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Polarization Engineering in Vinylene-Linked COFs Toward Efficient Neuromorphic Computing. [PDF]
Adv Sci (Weinh)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 ...
Wang H +5 more
europepmc +2 more sources
The Capacity Of Mel Frequency Cepstral Coefficients For Speech Recognition
, 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
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Musical instrument identification using multiscale Mel-frequency cepstral coefficients. [PDF]
, 2010 We investigate the benefits of evaluating Mel-frequency cepstral coefficients (MFCCs) over several time scalesin the context of automatic musical instrument identificationfor signals that are monophonic but derived from real musical settings.We define several sets of features derived from MFCCs computed using multiple time resolutions,and compare their
Sturm, Bob L. +2 more
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The Use of Mel-frequency Cepstral Coefficients in Musical Instrument Identification.
, 2008 This paper examines the use of Mel-frequency Cepstral Coefficients in the classification of musical instruments. 2004 piano, violin and flute samples are analysed to get their coefficients. These coefficients are reduced using principal component analysis and used to train a multi-layered perceptron.
Loughran, Róisín +3 more
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