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![[On-Device AI Chatbot] Part 4: The Ears and Mouth of a Chatbot: On-Device STT/TTS Integration](https://static.wixstatic.com/media/2ea07e_f9b2f825229d4e4b8e86be78ac4fd73b~mv2.png/v1/fill/w_992,h_559,fp_0.50_0.50,q_35,blur_30,enc_avif,quality_auto/2ea07e_f9b2f825229d4e4b8e86be78ac4fd73b~mv2.png)
![[On-Device AI Chatbot] Part 4: The Ears and Mouth of a Chatbot: On-Device STT/TTS Integration](https://static.wixstatic.com/media/2ea07e_f9b2f825229d4e4b8e86be78ac4fd73b~mv2.png/v1/fill/w_992,h_559,fp_0.50_0.50,q_95,enc_avif,quality_auto/2ea07e_f9b2f825229d4e4b8e86be78ac4fd73b~mv2.png)
[On-Device AI Chatbot] Part 4: The Ears and Mouth of a Chatbot: On-Device STT/TTS Integration
The Ears and Mouth of a Chatbot On-Device STT/TTS Integration In Part 3, we explored the optimization process of compressing a massive language model to fit the constrained resources of a smartphone and boosting inference speed using the mobile NPU. Now that we have successfully embedded a fast and smart "brain" inside the device, it is time to give our chatbot the "ears and mouth" it needs to interact naturally with users. In a mobile environment, typing out long texts eve
Feb 20
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