[HTML][HTML] Comparative performance analysis for speech digit recognition based on MFCC and vector quantization

DR KS, MD Rudresh, G Shashibhushsan - Global Transitions Proceedings, 2021 - Elsevier
The main goal of this research work is to experimentally verify the importance of spoken
Speech digit signal in person authentication in controlling applications. The motivation is …

Speech classification using SIFT features on spectrogram images

QT Nguyen, TD Bui - Vietnam Journal of Computer Science, 2016 - Springer
Classification of speech is one of the most vital problems in speech processing. Although
there have been many studies on the classification of speech, the results are still limited …

Performance analysis of speech digit recognition using cepstrum and vector quantization

MD Rudresh, AS Latha, J Suganya… - 2017 International …, 2017 - ieeexplore.ieee.org
Speech recognition is a process to identify the speaker on the basis of individual information
within the speech wave. Recent development has made the voice recognition in the security …

Autovat: an automated visual acuity test using spoken digit recognition with MEL frequency cepstral coefficients and convolutional neural network

D Taufik, N Hanafiah - Procedia Computer Science, 2021 - Elsevier
Since we live in the digital era, refractive error cases such as myopia have been increased
steadily from year to year. As a result, the number of people looking for a visual acuity test …

[PDF][PDF] Speech recognition using neural network

P Rani, S Kakkar, S Rani - International journal of computer applications, 2015 - Citeseer
Speech recognition is a subjective phenomenon. Despite being a huge research in this field,
this process still faces a lot of problem. Different techniques are used for different purposes …

Bio-CAPTCHA voice-based authentication technique for better security and usability in cloud computing

OA Hedaia, A Shawish, EH Houssein… - International Journal of …, 2020 - igi-global.com
Cloud computing has gained increased interest in the last few years, where an increasing
number of providers are converging to such a promising platform. However, the security …

Speaker and speech recognition using hierarchy support vector machine and backpropagation

AF Fadlilah, EC Djamal - 2019 6th International Conference on …, 2019 - ieeexplore.ieee.org
Voice signal processing has been proposed to improve effectiveness and facilitate the
public, such as Smart Home. This study aims a smart home simulation model to move doors …

[PDF][PDF] Connected speech recognition for authentication

SC Pravin, SS Kumar - International Journal of Latest Trends in …, 2017 - researchgate.net
In today's fast world we don't have time to sit and type our complicated alpha-digit codes
used for Product key, for Password Security Code (PSC) to access a person's authenticated …

Spoken word and speaker recognition using MFCC and multiple recurrent neural networks

YF Utomo, EC Djamal, F Nugraha… - 2020 7th international …, 2020 - ieeexplore.ieee.org
Identification of spoken word and speaker has been featured in many kinds of research. The
problem or obstacle that persists is in the pronunciation of a particular word. So it is the …

[PDF][PDF] Different acoustic feature parameters ZCR, STE, LPC and MFCC analysis of Assamese vowel phonemes

B Medhi, PH Talukdar - … of ICFM 2015 International Conference on …, 2015 - researchgate.net
Speech is a natural mode communication in our human lives. Speech conveys the
information about words, speaker identity, expression, emotion, gender of the speaker. Now …