
Enhanced speech recognition model is now available
62% Word Error Rate (WER) improvement for US English

62% Word Error Rate (WER) improvement for US English

Following Google’s release of new Speech API, we are happy to announce improved quality of call records transcription.

Check out the latest useful Voximplant Kit updates — we developed chat analytics, improved call history, added new tools for supervisors, expanded scenario capabilities, and updated the softphone. Below is a brief overview of the essential enhancements.

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Voximplant now includes a native Deepgram module that connects any Voximplant call to Deepgram’s Voice Agent API for real-time, speech‑to‑speech conversations. You can stream audio from phone numbers, SIP trunks, WhatsApp, or WebRTC into Deepgram’s unified agent environment—combining STT, LLM reasoning, and TTS—and play responses via Voximplant’s serverless runtime with minimal latency.

New integrations for Voice AI have arrived: Google's Gemini 2.0 Flash model, featuring seamless voice-to-voice conversation capabilities and ElevenLabs low-latency streaming speech synthesis are now available for Voximplant developers

Learn how a Voice AI Orchestration Platform connects LLMs, STT/TTS, turn‑taking, and telephony (PSTN, SIP, WebRTC) to build reliable real‑time voice agents. See benefits, architecture, and how Voximplant helps.

The new integration enables instant connection of any Voximplant call to an Ultravox agent, delivering seamless voice-to-voice conversations.

Voximplant now includes a native Cartesia module for streaming, low-latency text-to-speech (TTS). You can use a single VoxEngine API to synthesize speech in real time, connect it to any call (PSTN, SIP, WebRTC, WhatsApp) and control playback from a Large Language Model (LLM) or other source, all inside VoxEngine.