Forensic speaker recognition: A new method based on extracting accent and language information from short utterances

S Saleem, F Subhan, N Naseer, A Bais… - Forensic Science …, 2020 - Elsevier
This paper presents a new method for Forensic Speaker Recognition (FSR). The new
method is based on extracting accent and language information from short utterances …

Automatic methods for infant cry classification

IA Bănică, H Cucu, A Buzo, D Burileanu… - 2016 International …, 2016 - ieeexplore.ieee.org
Studies have shown that newborns are crying differently depending on their need: hunger,
tiredness, discomfort, eructation, pain, and so on. Skilled persons such as pediatricians can …

[PDF][PDF] Identification of British English regional accents using fusion of i-vector and multi-accent phonotactic systems.

M Najafian, S Safavi, P Weber, MJ Russell - Odyssey, 2016 - odyssey2016.org
The para-linguistic information in a speech signal includes clues to the geographical and
social background of the speaker. This paper is concerned with recognition of the 14 …

Empirical comparison between deep and classical classifiers for speaker verification in emotional talking environments

AB Nassif, I Shahin, M Lataifeh, A Elnagar, N Nemmour - Information, 2022 - mdpi.com
Speech signals carry various bits of information relevant to the speaker such as age, gender,
accent, language, health, and emotions. Emotions are conveyed through modulations of …

Spoken arabic algerian dialect identification

HCS Bougrine, A Abdelali - 2018 2nd International Conference …, 2018 - ieeexplore.ieee.org
Dialect identification is a challenging task and this becomes more complicated when dealing
with under-resourced dialects. In this paper, we propose a system based on prosodic …

Improving speech recognition using limited accent diverse British English training data with deep neural networks

M Najafian, S Safavi, JHL Hansen… - 2016 IEEE 26th …, 2016 - ieeexplore.ieee.org
Despite the recent advances in acoustic modelling tasks modelling speech data coming
from different speakers with varying accents, age, and speaking styles is a fundamental …

Identifying dialects with textual and acoustic cues

A Hanani, A Qaroush, S Taylor - 2017 - fada.birzeit.edu
We describe several systems for identifying short samples of Arabic or SwissGerman
dialects, which were prepared for the shared task of the 2017 DSL Workshop (Zampieri et …

Hierarchical classification for spoken Arabic dialect identification using prosody: Case of algerian dialects

S Bougrine, H Cherroun, D Ziadi - arXiv preprint arXiv:1703.10065, 2017 - arxiv.org
In daily communications, Arabs use local dialects which are hard to identify automatically
using conventional classification methods. The dialect identification challenging task …

Arabic dialect identification using different machine learning methods

KMO Nahar, OM Al-Hazaimeh, A Abu-Ein, MA Al-Betar - 2022 - researchsquare.com
Abstract Arabic Dialect Identification is the process of identifying the speaker's dialect based
on several features in the corresponding acoustic wave. In this research, machine learning …

Classifying ASR transcriptions according to Arabic dialect

A Hanani, A Qaroush, S Taylor - … of the Third Workshop on NLP for …, 2016 - aclanthology.org
We describe several systems for identifying short samples of Arabic dialects. The systems
were prepared for the shared task of the 2016 DSL Workshop. Our best system, an SVM …