This is a converted version of OpenAI's Whisper-small model exported to ONNX format for use with Transformers.js and other ONNX runtimes. It performs automatic speech recognition, converting spoken audio into text in multiple languages. The model is designed for integration into web applications and environments where native PyTorch is not suitable.
In the Speech to text space, Whisper Small takes a focused approach. It focuses on running efficient speech recognition models in browser or resource-constrained environments using ONNX. Whisper Small is an open-source project aimed at developers integrating speech recognition. The project is open source (Open Source). It ships for the web, the command line, and API.
It is developed by onnx-community. It operates in a well-populated space: PulseGate tracks 6 similar projects. Key capabilities include speech-to-text, multilingual transcription, and ONNX runtime.
Summary written by a language model from the project’s public pages.
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