Fuzzy phoneme classification using multi-speaker vocal tract length normalization
The overall success of automatic speech recognition (ASR) depends on efficient phoneme
recognition performance and quality of speech signal received in ASR. However, dissimilar …
recognition performance and quality of speech signal received in ASR. However, dissimilar …
[PDF][PDF] Classification of acute leukaemia cells using multilayer perceptron and simplified fuzzy ARTMAP neural networks
Leukaemia is a cancer of blood that causes more death than any other cancers among
children and young adults under the age of 20. This disease can be cured if it is detected …
children and young adults under the age of 20. This disease can be cured if it is detected …
A Comparison of Generalised Linear Modelling with Machine Learning Approaches for Predicting Loss Cost in Motor Insurance
This study explores the insurance pricing domain in the motor insurance industry, focusing
on the creation of “technical models” which are essentially obtained after combining the …
on the creation of “technical models” which are essentially obtained after combining the …
[PDF][PDF] A review on technological development of automatic speech recognition
C Kurian - International Journal of Soft Computing and …, 2014 - academia.edu
Speech recognition has been a challenging and multidisciplinary research area since
decades. Speech Recognition technology has tremendous potential as it is an integral part …
decades. Speech Recognition technology has tremendous potential as it is an integral part …
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 …
there have been many studies on the classification of speech, the results are still limited …
[PDF][PDF] Tunisian dialect recognition based on hybrid techniques.
M Hassine, L Boussaid, H Massaoud - Int. Arab J. Inf. Technol., 2018 - iajit.org
In this research paper, an Arabic Automatic Speech Recognition System is implemented in
order to recognize ten Arabic digits (from zero to nine) spoken in Tunisian dialect (Darija) …
order to recognize ten Arabic digits (from zero to nine) spoken in Tunisian dialect (Darija) …
[PDF][PDF] Isolated speech recognition system for Tamil language using statistical pattern matching and machine learning techniques
In recent years, speech technology has become a vital part of our daily lives. Various
techniques have been proposed for developing Automatic Speech Recognition (ASR) …
techniques have been proposed for developing Automatic Speech Recognition (ASR) …
Convolution neural networks with hybrid feature extraction methods for classification of voice sound signals
P Rashmi, MP Singh - World Journal of Advanced Engineering …, 2023 - wjaets.com
The convolutional neural networks (CNNs) lead in the domain of Sound Recognition due to
its flexibility and ability with different adjusting parameters. The recognition of spoken …
its flexibility and ability with different adjusting parameters. The recognition of spoken …
[PDF][PDF] Spoken english alphabet recognition with mel frequency cepstral coefficients and back propagation neural networks
Spoken alphabet recognition as one of the subsets of speechrecognition and pattern
recognition has many applications. Unfortunately, spoken alphabet recognition might not be …
recognition has many applications. Unfortunately, spoken alphabet recognition might not be …
A novel system for effective speech recognition based on artificial neural network and opposition artificial bee colony algorithm
The problem related to speech recognition system becomes challenging if vocabularies are
having too many similar-sounding words. To overcome these types of challenges, an …
having too many similar-sounding words. To overcome these types of challenges, an …