AssemblyAI has released a guide detailing how to integrate its Universal-3.5 Pro Realtime speech-to-text model with Agora's real-time audio transport platform. This integration allows developers to add low-latency, speaker-aware transcription to Agora calls without modifying client-side code. The process involves a Python server bot that joins an Agora channel, captures raw audio, and streams it to AssemblyAI's WebSocket endpoint for transcription. AssemblyAI's model reportedly achieves a 6.99% Word Error Rate (WER) on real voice-agent conversations, outperforming competitors like Deepgram Flux, ElevenLabs Scribe v2, and Google Chirp3 in benchmarks. AI
IMPACT Enables developers to easily add advanced speech-to-text capabilities to real-time communication platforms.
RANK_REASON Blog post detailing integration of existing products, not a new product or model release.
- AssemblyAI
- Deepgram Flux
- ElevenLabs Scribe v2
- Google Chirp3
- Pipecat
- Python
- Universal-3.5 Pro Realtime
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