Youssef Oualil — accepted AI-conference papers

2024

Towards A World-English Language Model for on-Device Virtual Assistants

Rricha Jalota, Lyan Verwimp, Markus Nußbaum-Thom, Amr El-Desoky Mousa, Arturo Argueta, Youssef Oualil

ICASSP 2024accepted

Neural Network Language Models (NNLMs) for Virtual Assistants (VAs) are generally language-, region-, and in some cases, device-dependent, which increases the effort to scale and maintain them. Combining NNLMs for one or more of the categories is one way to improve scalability. In this work, we comb…

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2023

Application-Agnostic Language Modeling for On-Device ASR

Markus Nussbaum-thom, Lyan Verwimp, Youssef Oualil

ACL 2023industry

On-device automatic speech recognition systems face several challenges compared to server-based systems. They have to meet stricter constraints in terms of speed, disk size and memory while maintaining the same accuracy. Often they have to serve several ap- plications with different distributions at…

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2017

A Neural Network approach for mixing language models

Youssef Oualil, Dietrich Klakow

ICASSP 2017accepted

The performance of Neural Network (NN)-based language models is steadily improving due to the emergence of new architectures, which are able to learn different natural language characteristics. This paper presents a novel framework, which shows that a significant improvement can be achieved by combi…

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