"Voice-generation technology enables machines to synthesize human-like speech-text-to-speech (TTS)-revolutionizing digital communication by fostering more inclusive and accessible experiences. What began as simple robotic speech synthesis has evolved into highly sophisticated voice-cloning systems that can produce natural, coherent, expressive, and personalized voices using minimal data. These technologies empower individuals with cross-lingual communication through virtual agents, assist in overcoming visual or speech impairments or literacy challenges via assistive tools, and support educators and industries such as entertainment with creative content generation."
"Challenges in Arabic. Despite all its potential, developing Arabic TTS remains challenging due to the morphological richness, phonetic complexity, and diglossic nature of the language. This complexity is further amplified by Arabic's unique status as a shared language across 22 countries,a encompassing more than 20 mutually unintelligible dialects. This gap between Modern Standard Arabic (MSA) and Dialectal Arabic (DA) poses additional challenges for model tra"
Voice-generation technology has progressed from robotic synthesis to advanced voice-cloning capable of producing natural, expressive, and personalized speech from minimal data. Such systems enable cross-lingual communication, assistive tools for visual or speech impairments, literacy support, and creative applications in education and entertainment. Arabic TTS has vast potential given over 422 million speakers and can power interactive language learning, accessibility services, and culturally appropriate media, while improving interaction with Arabic large language models. Significant challenges include Arabic's morphological richness, phonetic complexity, diglossia, and wide dialectal diversity, along with a scarcity of high-quality datasets and training resources.
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