no code implementations • 11 Feb 2024 • Minoo Shayaninasab, Bagher BabaAli
Due to the complex nature of human emotions and the diversity of emotion representation methods in humans, emotion recognition is a challenging field.
no code implementations • 11 Feb 2024 • Minoo Shayaninasab, Bagher BabaAli
Despite extensive discussions and global-scale efforts to enhance these systems, the application of this innovative and effective approach has received less attention in the context of Persian speech emotion recognition.
no code implementations • 18 Oct 2023 • Saleh Momeni, Bagher BabaAli
The outcomes of this study indicate that our model surpasses the previous state-of-the-art in free-text keystroke authentication.
no code implementations • 10 Oct 2023 • Pouya Mehralian, Bagher BabaAli, Ashena Gorgan Mohammadi
Self-supervised learning offers an efficient way of extracting rich representations from various types of unlabeled data while avoiding the cost of annotating large-scale datasets.
no code implementations • 27 Jul 2023 • Saleh Momeni, Bagher BabaAli
Existing approaches typically utilize a combination of convolutional neural networks for image feature extraction and recurrent neural networks for temporal modeling, with connectionist temporal classification used for text generation.
no code implementations • 15 Jun 2021 • Pu Wang, Bagher BabaAli, Hugo Van hamme
The acoustic model is pre-trained in two stages: initialization with a corpus of normal speech and finetuning on a mixture of dysarthric and normal speech.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 11 Dec 2020 • Shervin Rasoulzadeh, Bagher BabaAli
This paper addresses writer identification and writer retrieval which is considered as a challenging problem in the document analysis and recognition field.
no code implementations • 1 Oct 2019 • S. Soroush Haj Zargarbashi, Bagher BabaAli
Objective: Designing an automatic machine learning based diagnosis system will help in the procedure of early detection.
no code implementations • 26 Apr 2019 • Mohammad Adiban, Bagher BabaAli, Saeedreza Shehnepoor
In this study, an approach is proposed for normal/abnormal heart sound classification on the Physionet challenge 2016 dataset.
no code implementations • 7 Dec 2017 • Kian Ahrabian, Bagher BabaAli
In this paper, we propose a novel writer-independent global feature extraction framework for the task of automatic signature verification which aims to make robust systems for automatically distinguishing negative and positive samples.