4 papers
More Data, Fewer Diacritics: Scaling Arabic TTS
Ahmed Musleh, Yifan Zhang, Kareem Darwish
Arabic Text-to-Speech (TTS) research has been hindered by the availability of both publicly available training data and accurate Arabic diacritization models. In this paper, we add…
BALSAM: A Platform for Benchmarking Arabic Large Language Models
Rawan Al-Matham, Kareem Darwish, Raghad Al-Rasheed +40
The impressive advancement of Large Language Models (LLMs) in English has not been matched across all languages. In particular, LLM performance in Arabic lags behind, due to data s…
Creating Arabic LLM Prompts at Scale
Abdelrahman El-Sheikh, Ahmed Elmogtaba, Kareem Darwish +3
The debut of chatGPT and BARD has popularized instruction following text generation using LLMs, where a user can interrogate an LLM using natural language requests and obtain natur…
An Automated End-to-End Open-Source Software for High-Quality Text-to-Speech Dataset Generation
Ahmet Gunduz, Kamer Ali Yuksel, Kareem Darwish +4
Data availability is crucial for advancing artificial intelligence applications, including voice-based technologies. As content creation, particularly in social media, experiences…