rhasspy/asr/recordingFinished MQTT message sent immediately after silence detection.rhasspy/asr/setVolume MQTT message and /api/setVolume HTTP endpoint.Volume scale (0-1) for feedback sounds and TTS.French Kaldi profile and Larynx TTS voice.Spanish Kaldi profile and Larynx TTS voice.Russian Kaldi profile and Larynx TTS voice.Oh, and /api/text-to-speech now has a ?volume=0.5 parameter if you want just one utterance to be quiet. parameter too if you want to set multiple site ids. Lastly, there’s a new /api/set-volume HTTP endpoint where you can programmatically set the volume. But you can also put specific site IDs in the box and change the volumes of multiple satellites at once (this uses a new MQTT message). If you leave the site ID text box next to it blank, it will change the volume on whatever system you’re using. On the main web UI page, there is also a handy “Set Volume” button. In the Settings page, you can now independently set the volumes of: Many users have asked for the ability to adjust Rhasspy’s output volume, so I’ve made an effort to add this in a way that (I think) makes the most sense. If you know of a good dataset or would like to volunteer, please let me know! Volume Everywhere There are also several efforts underway to crowd-source this data from the Rhasspy community and other places. More languages are coming as I locate public speech data. You can use these now in Rhasspy by selecting Kaldi in the appropriate profile. In line with the Master Plan, I’ve trained up Kaldi speech to text models for Italian, Spanish, French, and Russian. Many more are currently in progress, including English, Swedish, Portuguese, and Vietnamese New Kaldi STT Models Out of the box, I have voices for Dutch, German, French, Spanish, and Russian. It uses PyTorch on the CPU, so there may be room for improvement with a GPU someday in the future. I wouldn’t recommend trying to use it on a Pi 3 or 2. Once it gets warmed up, Larynx runs well on x86_64 systems (NUC, etc.), and OK on a Pi 4. The goal of this TTS system is to provide high quality voices for as many languages as possible, replacing the need for Google Wavenet. This release finally incorporates the Larynx text to speech system, which is a fork of MozillaTTS. As always, please open GitHub issues so we can squash those bugs Larynx TTS Thanks to everyone who contributed, and to the many community members who are helping us build a great voice assistant for everyone. Unlike 2.5.7, there are quite a few new things in 2.5.8 to go over. With the holidays coming up, it seems like a good time to push out a new release.
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