Norizah Ardi

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About

Norizah Ardi is a leading researcher in Malay language speech technology, with a focused expertise in text-to-speech (TTS) synthesis for human-robot interaction. Her work is foundational to enabling natural, expressive communication between humans and machines, particularly in the context of humanoid robots and the Internet of Things. Ardi’s major contributions include developing an improved syllabification algorithm for Malay TTS, which is critical for producing natural-sounding, human-like speech from text. This work, published in 2015, remains her most cited paper with 35 citations, highlighting its lasting impact on the field. She further advanced the domain by creating the first Malay language storytelling TTS corpus, a carefully curated dataset of 464 sentences designed specifically for humanoid robot storytellers. This corpus, along with her rule-based approach to expressive speech synthesis, addresses the growing need for emotionally engaging and context-aware speech in applications like talking books and educational robots. Through her pioneering efforts, Ardi is shaping the future of how Malay-speaking users interact with technology, making her a key figure in the development of culturally and linguistically appropriate speech interfaces.