Local Low Latency Speech to Speech - Mistral 7B + OpenVoice / Whisper | Open Source AI | Summary and Q&A

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January 11, 2024
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All About AI
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Local Low Latency Speech to Speech - Mistral 7B + OpenVoice / Whisper | Open Source AI

TL;DR

This video showcases a low latency speech-to-speech system that is 100% open source and can be run offline.

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Questions & Answers

Q: How does the low latency speech-to-speech system work?

The system utilizes LM Studio, Dolphin M 7B, open Voice, and Whisper to convert text to speech and translate voice to text, enabling real-time conversation offline without the need for API requests.

Q: What are the advantages of using an open-source offline system?

By being open source and offline, the system eliminates the need for internet connectivity and reliance on external servers, resulting in faster response times and increased privacy.

Q: Can the system's latency be improved further?

While the latency is already low, the system can be optimized further. Suggestions for improvement can be shared in the comments section of the video.

Q: Where can I access the code for the low latency speech-to-speech system?

The code can be accessed on the community GitHub page, which is available to channel members. Follow the link in the video's description to become a member.

Summary & Key Takeaways

  • The video demonstrates a low latency speech-to-speech system that operates offline and is open source.

  • The system uses LM Studio, Dolphin M 7B, and open Voice for text-to-speech conversion, as well as Whisper for voice-to-text translation.

  • The system allows for real-time conversation with minimal latency by eliminating the need for API requests and dependence on external servers.

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