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Home Assistant\'s founder, Paulus Schoutsen, shares details about the Year of Voice, recent legal actions from Mazda, and the results of a recent third-party audit.

Plus, our recommended Nextcloud setup, converting dumb devices into smart ones with ESPHome, and more.

Special Guests: Brent Gervais, Listener Jeff, and Paulus Schoutsen.

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• 2023: Home Assistant\'s year of Voice - Home Assistant — TL;DR: It is our goal for 2023 to let users control Home Assistant in their own language. Mike Hansen, creator of Rhasspy, has joined Nabu Casa to lead this effort. We\\u2019re starting off by building a collection of intent matching sentences in every
• Removal of Mazda Connected Services integration - Home Assistant — Home Assistant is disappointed that Mazda has decided to take this position. We\\u2019re also sad that Mazda\\u2019s first recourse was not to reach out to us and the maintainer but to send a cease and desist letter instead.
• Year of the Voice - Chapter 4 - YouTube — We\\u2019re building an open voice assistant that does not share your data. Join us for our fourth progress update. You don\'t want to miss this one.\\n
• Year of the Voice - Chapter 4: Wake words - Home Assistant — We\\u2019ve got great news: wake words are finally here! After 4 chapters, we now have the final building block for voice in Home Assistant.
• $13 voice assistant for Home Assistant - Home Assistant — This tutorial will guide you to turn an ATOM Echo into the world\\u2019s most private voice assistant. Pick up the tiny device to talk to your smart home. Issue commands and get responses!
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• piper: A fast, local neural text to speech system — A fast, local neural text to speech system that sounds great and is optimized for the Raspberry Pi 4. Piper is used in a variety of projects.
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• openWakeWord: An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity. — openWakeWord is an open-source wakeword library that can be used to create voice-enabled applications and interfaces. It includes pre-trained models for common words & phrases that work well in real-world environments.
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