AI RESEARCH
Symphony for Speech-to-Text: Supporting Real-Time Medical Voice Interfaces
arXiv CS.LG
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ArXi:2605.16545v1 Announce Type: new After decades of use in dictation and, recently, ambient documentation, speech is emerging as a primary modality for interacting with technology and AI in healthcare. Yet medical speech recognition remains difficult: systems must capture specialized terminology, resolve contextual ambiguity, and render measurements, abbreviations, and clinical shorthand precisely.