Content Detail
Whisper-based Real-time Speech Recognition
Real-time speech-to-text transcription and alignment with multi-language support, based on OpenAI's Whisper model. No python or any separated servers needed.
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- Supported Platforms
- Supported Engine Versions4.27, 5.0 - 5.2
- Download TypeEngine PluginThis product contains a code plugin, complete with pre-built binaries and all its source code that integrates with Unreal Engine, which can be installed to an engine version of your choice then enabled on a per-project basis.
Description
Reviews
Questions
Demo video: Link
Documentation: Link
Free Demo project (exe): Link
This plugin allows you to recognize speech in 99 languages, just by adding one component to your blueprint, without relying on any separate servers or subscriptions.
The machine learning model used in this plugin is based on OpenAI's Whisper, but has been optimized to run on the ONNX Runtime for best performance and to minimize dependencies.
Accuracy varies for each supported language. See the original paper for the accuracy of supported languages.
To use this with a GPU, you need a supported NVIDIA GPU and to install the following versions of CUDA and cuDNN.
- CUDA: 11.6
- cuDNN: 8.5.0.96
Technical Details
Features:
- Real-time transcription from microphone input to text in 99 languages
- Real-time translation from microphone input to English text
- Real-time alighment from microphone input to user-specified text
Code Modules:
- AudioInputSpectrumAnalysis (Runtime)
- ByteLevelBpeTokenizer (Runtime)
- CustomizedOnnxRuntime (Runtime)
- WhisperOnnxModel (Runtime)
Number of Blueprints: 2
Number of C++ Classes: 13+
Network Replicated: No
Supported Development Platforms: Windows 64-bit
Supported Target Build Platforms: Windows 64-bit
Documentation: Link
Important/Additional Notes:
- To use with GPU, you need to install CUDA 11.6 and cuDNN 8.5.0.96.
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