Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges
Speech is a powerful medium of communication that always convey rich and useful
information, such as gender, accent, and other unique characteristics of a speaker. These …
information, such as gender, accent, and other unique characteristics of a speaker. These …
Speaker identification features extraction methods: A systematic review
Speaker Identification (SI) is the process of identifying the speaker from a given utterance by
comparing the voice biometrics of the utterance with those utterance models stored …
comparing the voice biometrics of the utterance with those utterance models stored …
Estimating autism severity in young children from speech signals using a deep neural network
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that involves difficulties
in social communication. Previous research has demonstrated that these difficulties are …
in social communication. Previous research has demonstrated that these difficulties are …
RETRACTED ARTICLE: Performance of deer hunting optimization based deep learning algorithm for speech emotion recognition
This paper proposes a speech emotion recognition technique based on Optimized Deep
Neural Network. The speech signals are denoised by presenting a novel adaptive wavelet …
Neural Network. The speech signals are denoised by presenting a novel adaptive wavelet …
Multimedia utilization of non-computerized disguised voice and acoustic similarity measurement
In this paper, an identification of a speaker for multimedia application under non-
electronically disguised voice is performed. In non-electronically disguised voice under …
electronically disguised voice is performed. In non-electronically disguised voice under …
Speaker recognition based on characteristic spectrograms and an improved self-organizing feature map neural network
Y Jia, X Chen, J Yu, L Wang, Y Xu, S Liu… - Complex & Intelligent …, 2021 - Springer
To obtain a speaker's pronunciation characteristics, a method is proposed based on an idea
from bionics, which uses spectrogram statistics to achieve a characteristic spectrogram to …
from bionics, which uses spectrogram statistics to achieve a characteristic spectrogram to …
Arabic voice recognition using fuzzy logic and neural network
This research adapted and implemented an algorithm for commanding using speech
recognition in ARABIC language in addition to English, and the ability to train the system …
recognition in ARABIC language in addition to English, and the ability to train the system …
A tutorial on signal energy and its applications
RC Guido - Neurocomputing, 2016 - Elsevier
This tutorial, dedicated both to young professionals and students working with digital signal
processing and pattern recognition, introduces three feature extraction approaches based …
processing and pattern recognition, introduces three feature extraction approaches based …
Cost-sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers
Multi-class classification problems can be addressed by using decomposition strategy. One
of the most popular decomposition techniques is the One-vs-One (OVO) strategy, which …
of the most popular decomposition techniques is the One-vs-One (OVO) strategy, which …
Turkish vowel classification based on acoustical and decompositional features optimized by Genetic Algorithm
In digital speech processing (DSP), vowel classification is one of the important and
challenging issue of automatic speech/speaker recognition (ASR) systems where vowels …
challenging issue of automatic speech/speaker recognition (ASR) systems where vowels …