Real-time call transcription in English and Canadian French, searchable archives, agent-assist suggestions, and natural voice synthesis for IVRs and automated outbound. Not a demo, production-grade pipelines with Canadian data residency.
Every big cloud provider offers speech-to-text now. Most of them are tuned for American English spoken clearly into a headset in a quiet office. Real call-centre audio is nothing like that. Canadian accents, Quebec French, callers on cell phones from a car, background noise, two people talking at once, product names and street names the model has never seen. Generic STT drops 15 to 25 percent of the words. For a call-centre QA review, that is the difference between a transcript you can trust and a transcript you have to re-listen to anyway.
We build speech pipelines tuned for Canadian voice work. Canadian English and Canadian French models trained on real call-centre audio, with code-switching support for callers who move between languages mid-sentence. Custom vocabulary for your product names, agent names, and industry terms. Speaker diarization (who said what) that actually works on two-person phone calls. Real-time or batch, whichever fits your workflow.
On the TTS side, the voices matter. The generic "robot reading an IVR menu" was acceptable in 2015 and is embarrassing now. We license natural-voice models in 27 Canadian-ready variants (Canadian English, Canadian French, and the major accent groups your customers speak), with commercial-use licensing baked in so you are not paying royalties per minute of synthesized audio.
Three feature groups covering speech-to-text, text-to-speech, and the integration glue that connects both into your call-centre, IVR, or CRM.
Real-time and batch transcription tuned for Canadian call audio. Accuracy, speaker tracking, and vocabulary tooling for the stuff generic models miss.
Natural voices for IVRs, outbound campaigns, and in-call playbacks. Commercial licensing built in, so no per-minute royalty surprises later.
The glue layer. Pipelines into your call-centre, PBX, CRM, or custom app, with Canadian data residency guaranteed by contract.
Not every voice operation needs transcription or synthesis. These are the situations where the cost math works out and the outputs are actually used.
Manually reviewing one call per agent per week catches the obvious. Transcribing every call and running keyword or sentiment searches catches patterns at the agent, team, and campaign level. For regulated-advice businesses, this moves QA from "sampling-based" to "systematic," which is what auditors increasingly expect.
Real-time transcription feeds a live-assist layer: when the caller says "my account", the agent sees the account record pop up; when a product is mentioned, the agent sees relevant notes and current promotions. The agent handles the human part, the AI handles the lookup grind. Shorter calls, better outcomes.
The gap between "please press 1 for sales" and "hi, what can I help you with today?" is the difference between a frustrating IVR and one callers actually use. Natural TTS plus speech-recognition for responses gives you an IVR that handles common requests without a menu, and routes the rest to a human cleanly.
Canadian French speech models are a different thing from France French models, and the generic cloud offerings often conflate them. Our EN-CA and FR-CA models handle regional accents, code-switching, and Quebec-specific vocabulary that generic models mangle. For businesses operating in Quebec or federally regulated, this is a functional requirement, not a nice-to-have.
Speech AI projects live or die on accuracy. We measure before, during, and after, so you see the real numbers instead of marketing claims.
Collect sample calls, run them through baseline models, measure accuracy on your actual audio. Deliverable is a current-state accuracy score per language and call type.
Build custom vocabulary, pronunciation lexicon, and domain-specific adjustments. Select TTS voices and record pronunciation guides for proper nouns.
Wire into your PBX, call-centre, IVR, or CRM. Set up webhook events, transcript delivery, and audio caching. End-to-end test on live calls.
Monthly accuracy monitoring, vocabulary updates as your product and team evolve, voice refresh when needed, usage reporting and cost management.
Direct answers to the six questions we hear most often about speech-to-text and text-to-speech specifically.
Thirty minutes with a practitioner, not a sales rep. We will transcribe sample calls through our baseline, show you the accuracy, and scope what tuning would cost to get it where you need it.