Tyger: Streaming ASR and Full-Duplex Turn-Control in One Model
Tyger has been released as a small model that manages full-duplex turn-control for voice agents. This model is based on NVIDIA Nemotron 3.5 ASR Streaming, with an additional 14M causal GRU layer.
Summary: Tyger has been released as a small model that manages full-duplex turn-control for voice agents. This model is based on NVIDIA Nemotron 3.5 ASR Streaming, with an additional 14M causal GRU layer.
This news announces Tyger, a new open-weights model. Tyger combines both streaming Automatic Speech Recognition (ASR) and full-duplex turn-control within a single model, which is crucial for voice assistants and dialogue systems. The goal is to make the user experience more natural.
The model is built upon NVIDIA Nemotron 3.5 ASR Streaming 0.6B. On top of this, a 14-million parameter causal GRU (Gated Recurrent Unit) layer has been added for turn-control. This architecture simultaneously processes and transcribes audio streams in real-time while also determining when speakers should talk or pause.
In live systems, particularly in areas like customer service bots, smart home assistants, or in-car voice command systems, such a model can significantly enhance user interaction by reducing latency and improving dialogue flow. Combining these two capabilities in a single model can also reduce deployment complexity and resource consumption.
For engineers developing voice interfaces, Tyger offers the potential to deliver more fluid and natural conversational experiences. Its performance and ease of integration should be evaluated, especially for low-latency and real-time voice applications.
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