Falcon (Beta)

Falcon is a proprietary text-to-speech engine developed by Murf AI, designed primarily for high-performance, real-time conversational AI applications. It serves as a specialized engine for developers building voice agents, interactive voice response (IVR) systems, and virtual assistants that require near-instantaneous audio generation. The engine is part of a shift toward low-latency speech synthesis capable of maintaining natural prosody during fluid human-AI dialogue.

Technical Capabilities

The engine is built on a compute-efficient proprietary neural architecture that prioritizes speed without sacrificing audio quality. It achieves a reported model latency of 55 milliseconds and a time-to-first-audio (TTFA) of approximately 130 milliseconds. These performance benchmarks allow it to handle high-concurrency environments, supporting up to 10,000 concurrent calls while delivering approximately 99.4% pronunciation accuracy.

A key feature of the engine is Murf’s MultiNative technology, which enables seamless code-mixing. This capability allows the model to switch between multiple languages within a single sentence while preserving native-level accents and pronunciation for each. Currently in beta, Falcon supports over 35 languages and provides a library of more than 150 voices tailored for conversational engagement.