How to Develop a Bilingual Voice Assistant
SMRTR summary
A developer created a bilingual voice assistant that automatically detects whether a user speaks Tamil or English and responds in the same language. Using a "confidence score" method rather than complex machine learning models, the system compares how confidently Google's speech recognition identifies the spoken language and selects the higher-scoring option. This approach works seamlessly on resource-limited devices like Raspberry Pi and could easily be expanded to support additional languages.
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