Dynamic switching solution for multilingual speech recognition
vosk-browser supports multi-language switching by replacing the model file, the following is the implementation method:
- Model preloading strategy: The core models are lazy loaded, downloading the corresponding model asynchronously when the user selects a language. For example, French:
const frenchModel = await Vosk.createModel('https://example.com/models/vosk-model-fr.tar.gz') - Language switching implementation: Create a language selection UI control to store the model URL mapping table:
{'en':'models/en.tar.gz','es':'models/es.tar.gz'} - Thermal Cutting Technology: The model can be dynamically replaced while the recognizer is running, requiring the old instance to be destroyed first:
recognizer.close(); const newRecognizer = await Vosk.createRecognizer(newModel, sampleRate)
Optimization Recommendations:The model differential update technique (download only the difference part) can be used to compress the general-purpose language model to less than 20MB. For memory-constrained scenarios, it is recommended to implement an LRU caching mechanism for models to automatically unload infrequently used language models.
This answer comes from the articleVosk-Browser: Speech Recognition Tool Running in a BrowserThe
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