This project provides a step-by-step walkthrough to help you build a hands-free Alexa Voice Service (AVS) prototype in 60 minutes, using wake word engines from Sensory or KITT.AI. Now, in addition to pushing a button to "start listening", you can now also just say the wake word "Alexa", much like the Amazon Echo. You can find step-by-step instructions to set up the hands-free prototype on Raspberry Pi, or follow the instructions to set up the push-to-talk only prototype on Linux, Mac, or Windows.
NEW! - Click here for instructions to build the AVS Prototype using a Raspberry Pi and the Conexant 2-Mic Development Kit for Amazon AVS
Alexa Voice Service (AVS) is Amazon’s intelligent voice recognition and natural language understanding service that allows you as a developer to voice-enable any connected device that has a microphone and speaker.
April 27, 2017:
Updates
- Need help troubleshooting the AVS Sample App? Check out the new Troubleshooting Guide.
April 20, 2017:
Updates
- The companion service persists refresh tokens between restarts. This means you won't have to authenticate each time you bring up the sample app. Read about the update on the Alexa Blog ».
- The Listen button has been replaced with a microphone icon.
- The sample app uses new Alexa wake word models from KITT.ai.
Maintenance
- ALPN version has been updated in
POM.xml. - Automated install no longer requires user intervention to update certificates.
Bug Fixes
- The sample app ensures that the downchannel stream is established before sending the initial
SynchronizeStateevent. This adheres to the guidance provided in Managing an HTTP/2 Connection with AVS. - Locale strings in the sample app user interface have been updated to match the values in
config.json. - Fixed no volume in Linux bug.
- WiringPi is now installed as part of
automated_install.sh. - Fixed 100% CPU bug.
Known Issues
- To log out of the java sample app you must delete your
refresh_tokensfile in the/samples/companionServicefolder. Otherwise, the sample app will authenticate on each reboot. Click here for log out instructions.
-
Review the AVS Terms & Agreements.
-
The earcons associated with the sample project are for prototyping purposes only. For implementation and design guidance for commercial products, please see Designing for AVS and AVS UX Guidelines.
-
Usage of Sensory & KITT.AI wake word engines: The wake word engines included with this project (Sensory and KITT.AI) are intended to be used for prototyping purposes only. If you are building a commercial product with either solution, please use the contact information below to enquire about commercial licensing -
- Contact Sensory for information on TrulyHandsFree licensing.
- Contact KITT.AI for information on SnowBoy licensing.
-
IMPORTANT: The Sensory wake word engine included with this project is time-limited: code linked against it will stop working when the library expires. The library included in this repository will, at all times, have an expiration date that is at least 120 days in the future. See Sensory's GitHub page for more information on how to renew the license for non-commercial use.
You can set up this project on the following platforms. Please choose the platform you'd like to set this up on -
- Raspberry Pi, or
- Linux, or
- Mac, or
- Windows
- New! Raspberry Pi + Conexant 2-Mic Development Kit for Amazon AVS
- Want to report a bug or request an update to the documentation? See CONTRIBUTING.md.
- Having trouble? Check out our troubleshooting guide.
- Have questions or need help building the sample app? Open a new issue.