L. Andrew M. Bush

Papers

Total Citations

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About

L. Andrew M. Bush is a researcher at the forefront of low-resource speech translation, with a focus on expanding language coverage in speech-to-speech systems. His most-cited work, "Direct Punjabi to English Speech Translation using Discrete Units" (2024), tackles a critical gap in speech technology: while text-to-text systems have made strides, speech-to-speech translation remains severely limited for the majority of the world’s 7,000+ languages. Bush’s key contribution lies in pioneering direct translation pipelines that bypass intermediate text, using discrete acoustic units to preserve linguistic nuances. This approach has the potential to democratize access to speech technology for over half the global population currently underserved. Though his citation count is modest (2), his work addresses a pressing challenge in computational linguistics—bridging the digital divide for languages like Punjabi. Bush’s research is notable for its emphasis on end-to-end modeling and cultural inclusivity, positioning him as an emerging voice in multilingual AI. His efforts align with broader goals of equitable technology, making his work a vital reference for students and researchers exploring speech translation in underrepresented languages.