activity
20162026
most citedFeature Learning from Spectrograms for Assessment of Personality Traits

31 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Sequential RC-TGAN: Generating Relational Time Series with Spectral Envelope Loss

Mohamed Gueye, Yazid Attabi, Manuel Morales +1

The generation of synthetic relational databases often involves modeling complex temporal dynamics, such as transaction logs or event sequences. A significant challenge in this dom…

cs.CL2025

Query-Focused Extractive Summarization for Sentiment Explanation

Ahmed Moubtahij, Sylvie Ratté, Yazid Attabi +1

Constructive analysis of feedback from clients often requires determining the cause of their sentiment from a substantial amount of text documents. To assist and improve the produc…

cs.LG2022

Row Conditional-TGAN for generating synthetic relational databases

Mohamed Gueye, Yazid Attabi, Maxime Dumas

Besides reproducing tabular data properties of standalone tables, synthetic relational databases also require modeling the relationships between related tables. In this paper, we p…

eess.AS2020★ 2 cited

On the Use of Audio Fingerprinting Features for Speech Enhancement with Generative Adversarial Network

Farnood Faraji, Yazid Attabi, Benoit Champagne +1

The advent of learning-based methods in speech enhancement has revived the need for robust and reliable training features that can compactly represent speech signals while preservi…

cs.CV2016★ 31 cited

Feature Learning from Spectrograms for Assessment of Personality Traits

Marc-André Carbonneau, Eric Granger, Yazid Attabi +1

Several methods have recently been proposed to analyze speech and automatically infer the personality of the speaker. These methods often rely on prosodic and other hand crafted sp…