Installing a local Assist pipeline

“Otherwise, you won’t be able to control them by voice.” (Installing a local Assist pipeline)

“For running all together, it needs to have the Home Assistant Operating System running.” (Prerequisites)

“No data is sent to external servers for processing.” (Some options for speech-to-text and text-to-speech)

“On a Raspberry Pi, using medium quality models, it can generate 1.6s of voice in a second.” (Text-to-speech engine)

“Piper is a fast, local neural text-to-speech system that sounds great and is optimized for the Raspberry Pi 4.” (Text-to-speech engine)

“Speech-to-Phrase is a close-ended speech model. It transcribes what it knows.” (Speech-to-text engines)

“More open-ended items such as shopping lists, naming a timer, and broadcasts are not usable out of the box.” (Speech-to-text engines)

“Whisper is only a great option in the following case” (Speech-to-text engines, Whisper)

“Whisper is an open-ended speech model. It will try to transcribe everything.” (Speech-to-text engines)

“You should now see both services being discovered by the Wyoming integration” (Installing a local Assist pipeline)

“Extremely fast transcription even on a Home Assistant Green or Raspberry Pi 4 (under one second).” (Speech-to-Phrase)

“On a Raspberry Pi 4, it takes around 8 seconds to process incoming voice commands. On an Intel NUC, it is done in under a second.” (Whisper)