Mohamed Nabih Ali

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients.

[BibT_eX]

[DOI]

CoRR, 2024

Training Early-Exit Architectures for Automatic Speech Recognition: Fine-Tuning Pre-Trained Models or Training from Scratch.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Direct enhancement of pre-trained speech embeddings for speech processing in noisy conditions.

[BibT_eX]

[DOI]

Comput. Speech Lang., June, 2023

Improving the Intent Classification accuracy in Noisy Environment.

[BibT_eX]

[DOI]

CoRR, 2023

Scaling strategies for on-device low-complexity source separation with Conv-Tasnet.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Time-Domain Joint Training Strategies of Speech Enhancement and Intent Classification Neural Models.

[BibT_eX]

[DOI]

Sensors, 2022

Enhancing Embeddings for Speech Classification in Noisy Conditions.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

A Speech Enhancement Front-End for Intent Classification in Noisy Environments.

[BibT_eX]

[DOI]

Veronica Juliana Schmalz

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Speech Enhancement Using Dilated Wave-U-Net: an Experimental Analysis.

[BibT_eX]

[DOI]