Tether AI Research Launches QVAC TranscribePsy Speech Recognition Model

Tether AI Research has launched the multilingual automatic speech recognition model QVAC TranscribePsy, which features 254 million parameters and is designed to run entirely on-device. TranscribePsy provides developers with a method for offline speech recognition without the need to send user audio to cloud servers. The model can process audio from smart glasses connected via Bluetooth or Wi-Fi in near real-time and can also run directly on the onboard processors of humanoid robots. TranscribePsy is designed for rapid response, enabling low-latency natural voice interactions while keeping voice processing on-device.

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