Definition
Speech-to-text is the technology that converts spoken audio into written text automatically. In call tracking and conversation intelligence, it turns every recorded phone call into a searchable, analyzable transcript without requiring a human to listen.
That distinction matters. 96% of inbound calls are analyzed by zero humans. Speech-to-text is what makes machine analysis possible at all.
The engine works by breaking audio into small segments, matching acoustic patterns against language models, and outputting word sequences in near-real time or post-call. Accuracy depends on audio quality, speaker clarity, and how well the model handles industry-specific vocabulary.
Convirza applies speech-to-text across the deepest call benchmark corpus in the industry, feeding transcripts directly into scoring, intent detection, and outcome analysis. The transcript is the foundation. Everything built on top of it, lead scoring, missed opportunity flags, agent coaching, depends on that text being accurate.
For a deeper look at how transcription works in practice, see Call Transcription.
- See also: Acoustic Modeling
- See also: Intent Detection
- See also: Lead Scoring
