Sara Sekkate

Orcid: 0000-0002-9413-3829

According to our database1, Sara Sekkate authored at least 21 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of six.

Timeline

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Bibliography

2025
Handling data scarcity through data augmentation for detecting offensive speech.
Ann. des Télécommunications, June, 2025

Efficient bimodal emotion recognition system based on speech/text embeddings and ensemble learning fusion.
Ann. des Télécommunications, June, 2025

2024
A deep learning framework for offensive speech detection.
Proceedings of the 12th IEEE International Symposium on Signal, 2024

Multi-features learning via Attention-BLSTM for Speech Emotion Recognition.
Proceedings of the 12th IEEE International Symposium on Signal, 2024

Enhancing Credit Scoring Models with Monte Carlo Simulated Features.
Proceedings of the 12th IEEE International Symposium on Signal, 2024

Impact of Economic Income on Mental Health Post-Quarantine.
Proceedings of the Thirteenth IEEE International Conference on Image Processing Theory, 2024

2023
Speaker and gender dependencies in within/cross linguistic Speech Emotion Recognition.
Int. J. Speech Technol., September, 2023

A statistical feature extraction for deep speech emotion recognition in a bilingual scenario.
Multim. Tools Appl., March, 2023

Unveiling embedded features in Wav2vec2 and HuBERT msodels for Speech Emotion Recognition.
Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Exploring machine learning techniques for oil price forecasting: A comparative study of SVM, SMO, and SGD-base models.
Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

2021
Improving Speech Emotion Recognition System Using Spectral and Prosodic Features.
Proceedings of the Intelligent Systems Design and Applications, 2021

On the use of MFCC and SWT-based features for offensive speech detection in social media.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021

Feature selection based on machine learning for credit scoring : An evaluation of filter and embedded methods.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021

2020
A Statistical Based Modeling Approach for Deep Learning Based Speech Emotion Recognition.
Proceedings of the Intelligent Systems Design and Applications, 2020

2019
Speaker Identification for OFDM-Based Aeronautical Communication System.
Circuits Syst. Signal Process., 2019

An Investigation of a Feature-Level Fusion for Noisy Speech Emotion Recognition.
Comput., 2019

A Multiresolution-Based Fusion Strategy for Improving Speech Emotion Recognition Efficiency.
Proceedings of the Mobile, Secure, and Programmable Networking, 2019

2018
A Feature Level Fusion Scheme for Robust Speaker Identification.
Proceedings of the Big Data, Cloud and Applications - Third International Conference, 2018

2017
Speaker identification: A way to reduce call-sign confusion events.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

2016
An improved automatic aircraft identification system.
Proceedings of the 2016 International Conference on Wireless Networks and Mobile Communications, 2016

The performance of an automatic aircraft identification in flat fading channels.
Proceedings of the 11th International Conference on Intelligent Systems: Theories and Applications, 2016


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