Symphony for Speech-to-Text: Supporting Real-Time Medical Voice Interfaces

TL;DR

Symphony for Speech-to-Text is a new medical-grade speech recognition system that improves real-time and batch clinical transcription by specialized components, outperforming existing systems in medical and general domains.

Contribution

It introduces a decomposed recognition system that enhances medical term recall and produces structured clinical text, with robust performance across diverse settings.

Findings

Outperforms state-of-the-art systems in clinical speech recognition

Matches or exceeds performance in general-domain speech tasks

Provides a new clinical benchmark dataset for validation

Abstract

After decades of use in dictation and, more 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. Existing solutions are typically optimized either for general-purpose transcription or narrow dictation workflows, limiting their reliability in safety-critical settings and their usefulness for broader clinical workflows. We introduce Symphony for Speech-to-Text, a medical-grade speech recognition system for real-time streaming and batch file-based clinical use. Symphony decomposes the transcription process into specialized components for recognition, formatting, and contextual correction to optimize medical term recall while producing clinically structured text in real time and adapting across use cases. Evaluations on public benchmark and medical speech datasets show that Symphony substantially outperforms state-of-the-art systems in clinical settings while matching or exceeding them in general-domain settings, suggesting robust generalization rather than overfitting. We release a clinical benchmark dataset to support reliable validation and further progress in medical speech recognition. Symphony is available through a production-grade API for live dictation, conversational transcription, and batch audio file processing.