Search Results for author: Bagher BabaAli

Found 10 papers, 0 papers with code

Multi-Modal Emotion Recognition by Text, Speech and Video Using Pretrained Transformers

no code implementations11 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.

Multimodal Emotion Recognition Self-Supervised Learning +1

Persian Speech Emotion Recognition by Fine-Tuning Transformers

no code implementations11 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.

Self-Supervised Learning Speech Emotion Recognition

Free-text Keystroke Authentication using Transformers: A Comparative Study of Architectures and Loss Functions

no code implementations18 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.

Self-Supervised Representation Learning for Online Handwriting Text Classification

no code implementations10 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.

Gender Classification Representation Learning +3

A Transformer-based Approach for Arabic Offline Handwritten Text Recognition

no code implementations27 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.

Handwriting Recognition Handwritten Text Recognition +2

A Study into Pre-training Strategies for Spoken Language Understanding on Dysarthric Speech

no code implementations15 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

Writer Identification and Writer Retrieval Based on NetVLAD with Re-ranking

no code implementations11 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.

Re-Ranking Retrieval

A Multi-Modal Feature Embedding Approach to Diagnose Alzheimer Disease from Spoken Language

no code implementations1 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.

BIG-bench Machine Learning

Statistical feature embedding for heart sound classification

no code implementations26 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.

Classification Dimensionality Reduction +2

On Usage of Autoencoders and Siamese Networks for Online Handwritten Signature Verification

no code implementations7 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.

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