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Oumayma Al Dakkak

2 papers hereh-index 464 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.SD2

identity via Semantic Scholar / OpenAlex

most citedTowards Solving Cocktail-Party: The First Method to Build a Realistic Dataset with Ground Truths for Speech Separation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SD2024

Developing an Effective Training Dataset to Enhance the Performance of AI-based Speaker Separation Systems

Rawad Melhem, Assef Jafar, Oumayma Al Dakkak

This paper addresses the challenge of speaker separation, which remains an active research topic despite the promising results achieved in recent years. These results, however, oft…

cs.SD2023★ 1 cited

Towards Solving Cocktail-Party: The First Method to Build a Realistic Dataset with Ground Truths for Speech Separation

Rawad Melhem, Assef Jafar, Oumayma Al Dakkak

Speech separation is very important in real-world applications such as human-machine interaction, hearing aids devices, and automatic meeting transcription. In recent years, a sign…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.