Mycroft is the world’s first open source assistant.

Mycroft runs anywhere – on a desktop computer, inside an automobile, or on a Raspberry Pi. This is open source software which can be freely remixed, extended, and improved. Mycroft may be used in anything from a science project to an enterprise software application.

https://mycroft.ai

News
https://mycroft.ai/blog

Mycroft skills
https://mycroftai.github.io/mycroft-skills

Mimic TTS
Mycroft’s Mimic Text to Speech technology. Mimic is now a deep learning based Text-to-Speech (TTS) engine trained on audio recordings from a single speaker.
https://mycroft.ai/blog/mimic-2-is-live

https://github.com/MycroftAI/mimic2


Sources
https://github.com/MycroftAI

Community
https://community.mycroft.ai

Telegram
https://t.me/mycroft_ai


📡 @NoGoolag
#mycroft #assistant #voice #speech #tts

Mozilla publishes the largest public transcribed voice dataset.

Mozilla makes available the largest set of human voices based entirely on crowdsourcing. The data set includes 18 different languages and adds up to nearly 1,400 hours of recorded voice data from more than 42,000 contributors.

From the outset, our vision for Common Voice has been to create the world's most diverse voice dataset, optimized specifically for the development of speech. We have also promised to make the dataset freely accessible so that start-ups, researchers* and anyone else interested in speech technologies can use the high-quality transcribed speech data we have collected.

Today, we are pleased to present our first multilingual dataset, covering 18 languages - including English, French, German and Mandarin (traditional), but also Welsh and Kabyle, for example. This new dataset contains a total of approximately 1,400 hours of voice recordings from more than 42,000 people.

With this release, the Common Voice record is now the largest of its kind, thanks to the support of tens of thousands of people who have brought their voices and written sentences to the Public Domain (CC0). The complete data set is now available for download on the Common Voice page.

Web: https://voice.mozilla.org/en/datasets

📡 @NoGoolag
#mozilla #dataset #voice #crowdsourcing #multilingual #speech

https://www.cnet.com/news/amazon-alexa-transcripts-live-on-even-after-you-delete-voice-records

#amazon #alexa #why #voice #assistant

Algorthmic monitoring - EU develops interception platform with speech analysis and face recognition

Police authorities in the EU are to be given a powerful monitoring instrument. The system is to recognize persons in telephone conversations by their voice. But it also uses traces left by suspects in public places or on the Internet.

‼️ The rise of organised criminal networks in the European Union is facilitated by new travelling possibilities and new technologies. Fighting organised crime has become a top priority for European law enforcement agencies (#LEA). The EU-funded #ROXANNE project intends to combine new speech technologies, face recognition and network analysis to facilitate the identification of criminals. Specifically, ROXANNE will develop a platform that will increase agencies’ capabilities via #voice #recognition, #language and #video #technologies. The project will support LEA’s activities through multilanguage applications based on voice, text and face technologies. ROXANNE, in conformity with #Interpol and #EU #regulations, will be tested on real case data in nine EU Member States.

👀 👉🏼 Source 🇩🇪
https://netzpolitik.org/2020/algorthmische-ueberwachung-eu-entwickelt-abhoerplattform-mit-sprachanalyse-und-gesichtserkennung/

👀 👉🏼 Real time network, text, and speaker analytics for combating organized crime:
https://cordis.europa.eu/project/id/833635

#eu #surveillance #thinkabout
📡@cRyPtHoN_INFOSEC_DE
📡@cRyPtHoN_INFOSEC_EN
📡@BlackBox_Archiv
📡@NoGoolag

Rhasspy Voice Assistant

Rhasspy (pronounced RAH-SPEE) is an open source, fully offline set of voice assistant services for many human languages 

https://github.com/rhasspy/rhasspy

https://rhasspy.readthedocs.io/en/v2.4.20/wake-word/

https://www.reddit.com/r/homeassistant/comments/edcxb3/rhasspy_vs_mycroft_vs_ada_almond/


#rhasspy #voice #assistant

Linux Foundation Introduces Open Voice Network

https://www.linuxfoundation.org/press-release/linux-foundation-introduces-open-voice-network-to-prioritize-trust-and-interoperability-in-a-voice-based-digital-future/

https://openvoicenetwork.org

Comments
https://news.ycombinator.com/item?id=27673681

#voice #speech

Dicio
Voice assistant app for Android

Dicio is a free and open source voice assistant running on Android. It supports many different skills and input/output methods, and it provides both speech and graphical feedback to a question. It uses Vosk for speech to text. It has multilanguage support, and is currently available in these languages: English, French, German, Greek, Italian, Russian and Spanish.

Features:

Search: looks up information on DuckDuckGo.
Weather: weather information from OpenWeatherMap
Lyrics: shows Genius lyrics for songs.
Open: open an app on your device.
Telephone: view and call contacts
Timer: set, query and cancel timers

Download: https://f-droid.org/packages/org.dicio.dicio_android

https://github.com/Stypox/dicio-android/releases

#New #Assistant #Voice

@foss_Android

Project Alice

Project Alice is a smart #voice home #assistant that is completely modular and extensible. It was first built around Snips therefore runs entirely offline and never sends or shares your voice interactions with anyone, Project Alice guarantees your privacy in your home or wherever you’re using Project Alice.

However, as an option, since we've built Project Alice on top of Snips, Project Alice can be configured to use some online alternatives and fall backs (for example, using Amazon or Google’s Text to Speech engines), just like Snips. Since Snips (and the Project Alice team) strongly believe that decisions about your privacy should be made by you and you alone, these options are all disabled by default.

https://github.com/project-alice-assistant/ProjectAlice

Comments
https://news.ycombinator.com/item?id=31227488


#voice #assistant #home

#Speech Note Transcribes #Voice to #Text on #Linux

https://www.omglinux.com/speech-note-transcribe-voice-to-text-on-linux/

FUTO Voice Input

Android application that lets you do speech-to-text on Android, integrating with third party keyboards or apps that use the generic speech-to-text APIs.

👉 FUTO Voice website: https://voiceinput.futo.org
👉 F-Droid repo:
https://app.futo.org/fdroid/repo/
👉 FUTO Voice play store: https://play.google.com/store/apps/details?id=org.futo.voiceinput
👉 FUTO Voice source code: https://gitlab.futo.org/alex/voiceinput
⚠️ License https://gitlab.futo.org/alex/voiceinput/-/blob/master/FTL_LICENSE.md

🔵 Linux Live Captions interview: https://www.youtube.com/watch?v=r09Hm2zd2lY
👉 Live Captions github: https://github.com/abb128/LiveCaptions
🔵 Louis' interview w/ FUTO's founder:  
Q&A w/ billionaire alt-tech investor/philanthropist Eron Wolf
https://www.youtube.com/watch?v=OJPmbcU-Vzo
⚠️ Google's breaches of privacy have gone TOO FAR!
https://www.youtube.com/watch?v=_vWAF13KigI

00:00 - Intro
00:24 - The problem with voice to text
00:37 - How Google's voice to text stored data
01:24 - EULA roofying
02:21 - Why is this called paid promotion?
03:37 - Introducing our voice to text keyboard
04:00 - The issue with Google's voice to text
04:30 - Demoing Google's voice to text
04:58 - Installing FUTO Voice Input
05:26 - Configuring FUTO Voice Input
05:52 - A note on compatible keyboards
06:19 - Configuring FUTO Voice Input
06:42 - Demoing FUTO Voice Input - SLOW MODEL
07:54 - Demoing FUTO Voice Input - FAST MODEL
08:28 - Demoing Google Voice input - same text
08:52 - FUTO keyboard wins out - better accuracy & punctuation
09:34 - NO DATA COLLECTION, NO ADS, NO TRACKING
09:58 - Open Source, but not free
10:18 - Our DRM/antipiracy measure is the honor system
10:48 - Why isn't this free?
12:00 - We will be making a keyboard w/ autocorrect soon as well

#Android #speech #recognition #stt #voice

#Linux Desktop application that provides live #captioning

FUTO Fellowship program interview; linux captions software

👉 Live Captions github: https://github.com/abb128/LiveCaptions

🔵 Q&A w/ billionaire alt-tech investor/philanthropist Eron Wolf
https://www.youtube.com/watch?v=OJPmbcU-Vzo
🔵 FUTO Fellows program: https://futo.org/fellows/
🔵 FUTO Youtube channel - @futotech
⚠️ Google's breaches of privacy have gone TOO FAR!
https://www.youtube.com/watch?v=_vWAF13KigI

#speech #recognition #stt #voice

Solving #Google's #Keyboard Privacy Issue: Introducing Offline #voice to text & #keyboard from #FUTO

https://odysee.com/solving-google's-keyboard-privacy-issue#7b51783c3bb27a967223ac3a7c3eb756267b1594

https://keyboard.futo.org
https://github.com/abb128/LiveCaptions
https://www.nytimes.com/2022/08/21/technology/google-surveillance-toddler-photo.html
https://youtu.be/r09Hm2zd2lY
https://www.youtube.com/watch?v=_vWAF13KigI

👉 Rossmann chat: https://matrix.to/#/#rossmannrepair:matrix.org

Home Assistant Voice Preview Edition

Open, local, and private #voice #assistant

https://www.home-assistant.io/voice-pe/

Resources
https://voice-pe.home-assistant.io/resources/
https://github.com/esphome/home-assistant-voice-pe

Community
https://community.home-assistant.io/

Specs
SoC ESP32-S3 SoC with 16 MB of FLASH storage 8 MB octal PSRAM
Audio Processing XMOS XU316
Featuring:
Echo cancellation
Stationary noise removal
Auto gain control
Dedicated I2S lines for audio in and out
Power / data USB-C, 5 V DC, 2 A
Radios 2.4 GHz Wi-Fi
Bluetooth 5.0
Audio output 3.5 mm (⅛”) stereo headphone jack
Digital to analog converter (DAC): TI AIC3202
48 kHz sampling rate
Software
ESPHome preloaded
Fully open-source firmware for both the ESP32 and XMOS chip

#iot #homeassistant

WhisperTux

Simple #voice #dictation application for #Linux. Uses whisper.cpp for offline speech-to-text transcription. No fancy GPUs are required although whisper.cpp is capable of using them if available. Once your speech is transcribed, it is sent to a ydotool daemon that will write the text into the focused application.

Features

Local speech-to-text processing via whisper.cpp (no cloud dependencies)
No expensive hardware required (works well on a plain x86 laptop with AVX instructions)
Global keyboard shortcuts for system-wide operation
Automatic text injection into focused applications
Configurable whisper models and shortcuts

https://github.com/cjams/whispertux

#assistant #speech #stt

Dicio assistant

Dicio is a free and open source #voice #assistant running on #Android. It supports many different skills and input/output methods, and it provides both speech and graphical feedback to a question. It interprets user input and (when possible) generates user output entirely on-device, providing privacy by design. It has multilanguage support, and is currently available in these languages: Czech, English, French, German, Greek, Italian, Polish, Russian, Slovenian, Spanish, Swedish and Ukrainian. Open to contributions :-D

https://github.com/Stypox/dicio-android

Download
https://f-droid.org/packages/org.stypox.dicio
https://github.com/Stypox/dicio-android/releases
https://play.google.com/store/apps/details?id=org.stypox.dicio

Skills
Currently Dicio answers questions about:
search: looks up information on DuckDuckGo (and in the future more engines) - Search for Dicio
weather: collects weather information from OpenWeatherMap - What's the weather like?
lyrics: shows Genius lyrics for songs - What's the song that goes we will we will rock you?
open: opens an app on your device - Open NewPipe
calculator: evaluates basic calculations - What is four thousand and two times three minus a million divided by three hundred?
telephone: view and call contacts - Call Tom
timer: set, query and cancel timers - Set a timer for five minutes
current time: query current time - What time is it?
navigation: opens the navigation app at the requested position - Take me to New York, fifteenth avenue
media: play, pause, previous, next song

Speech to text
Dicio uses Vosk as its speech to text (#STT) engine. In order to be able to run on every phone small models are employed, weighing ~50MB. The download from here starts automatically whenever needed, so the app language can be changed seamlessly.