Audio
Speech and Audio
Speech workflows include text-to-speech, real-time speech recognition, recorded-file transcription, translation, and voice interaction.
Who this is for
Customers building call-center, subtitle, meeting, or voice-agent workflows.
Configuration reference
Values to confirm before setup
TTS
Generate speech from text
ASR
Speech recognition and transcription
Planning factors
Language, latency, audio length, streaming, diarization needs
Setup flow
Practical steps
- 01Confirm language and audio quality.
- 02Choose TTS, ASR, translation, or speech-to-speech.
- 03Test real customer audio.
- 04Estimate call volume and latency.
- 05Define storage and privacy rules.
Procurement note
Audio projects fail when sample audio is too clean. Ask for real calls, noisy samples, accents, and expected output format before quoting.
Common mistakes
Check these before escalating
- Phone audio and studio audio behave differently.
- Privacy rules for voice data can be stricter than text.
- Latency needs determine whether batch or real-time API is appropriate.
Related guides
Security and Compliance Checklist
Security review covers key ownership, permissions, transport, data location, privacy, training-data commitments, and customer approval.
Usage Monitoring and Cost Control
Production buyers need visibility into call volume, token consumption, success rate, quota remaining, and monthly replenishment.
Billing and Pricing Structure
A trustworthy quote separates official model usage, Token Plan subscription, shared quota, payment costs, taxes, and ModelSmarter service fees.