Showing 2 open source projects for "layered voice analysis"

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  • 1
    Rasa

    Rasa

    Open source machine learning framework to automate text conversations

    Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contextual assistants on Facebook Messenger, Slack, Google Hangouts, Webex Teams, Microsoft Bot Framework, Rocket.Chat, Mattermost, Telegram, and Twilio or on your own custom conversational channels. Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forths.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Rasa Core

    Rasa Core

    Rasa Core is now part of the Rasa repo

    Rasa is an open source machine learning framework to automate text and voice-based conversations. With Rasa, you can build contextual assistants. Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forth. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed – Rasa enables you to build assistants that can do this in a scalable way.
    Downloads: 1 This Week
    Last Update:
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