Speech-to-text

Speech-to-text (STR) systems convert audio waveforms containing spoken language into text transcriptions. Modern end-to-end neural models like OpenAI's Whisper use transformer encoders trained on large multilingual audio datasets to achieve near-human transcription accuracy.

STR is a foundational component of voice interfaces, meeting transcription tools, and audio content indexing systems.