Results 11 to 20 of about 2,981,759 (215)
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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Identification of Language using Mel-Frequency Cepstral Coefficients (MFCC) [PDF]
Procedia Engineering, 2012 AbstractThis paper focuses on the task of identifying a language from speech signal. In this paper, we have use Mel-frequency cepstral coefficient as features. Language identification models are developed for fifteen Indian languages namely Assamese, Bangla, Guajarati, Hindi, Kannada, Kashmiri, Malayalam, Marathi, Nepali, Oriya, Punjabi, Rajasthani ...
Shashidhar Koolagudi
exaly +3 more sources
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
doaj +2 more sources
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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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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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
openaire +3 more sources
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
openaire +3 more sources
Mel Frequency Cepstral Coefficients: An Evaluation Of Robustness Of Mp3 Encoded Music. [PDF]
, 2006 [TODO] Add abstract here.
Sigurdsson, Sigurdur +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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Analysis of COVID-19 Heavy Cough Sounds Using Bark Wavelet Cepstral Coefficients [PDF]
The Egyptian International Journal of Engineering Sciences and Technology, 2022 Coronavirus is known as COVID-19. It spreads in all over the world as pandemic. Until writing this paper, 164.5 million person worldwide is affected with this disease. Over 3.4 million people are died due to that disease.
Mohamed Azmy
doaj +1 more source