What is Speech-to-Text?
Speech-to-Text is the function of transcribing spoken words into written text. It's used interchangeably with Automatic Speech Recognition (ASR).
What is an example of Speech-to-Text (STT)?
A live meeting platform generating on-screen captions as participants speak runs STT in real time.
How does Speech-to-Text (STT) work?
Modern STT systems are end-to-end neural networks that map audio features directly to text tokens. They run in batch mode for high-accuracy transcription of recordings, or in streaming mode for real-time output in voice agents.
How does ai-coustics use Speech-to-Text?
STT quality is bounded by input audio quality. Our Quail family of real-time speech enhancement models sits ahead of STT systems - commercial APIs like Deepgram and AssemblyAI, open models like Whisper, and on-device recognizers - suppressing noise, reverb, and competing voices so the recognizer sees the cleanest possible signal. The result is lower Word Error Rate and more reliable transcripts, especially on noisy calls in real-world scenarios.
