Skip to content

An SDK for commercial device makers to integrate Alexa directly into connected products.

License

Notifications You must be signed in to change notification settings

merdahl/avs-device-sdk

 
 

Repository files navigation

What is the Alexa Voice Service (AVS)?

The Alexa Voice Service (AVS) enables developers to integrate Alexa directly into their products, bringing the convenience of voice control to any connected device. AVS provides developers with access to a suite of resources to quickly and easily build Alexa-enabled products, including APIs, hardware development kits, software development kits, and documentation.

Learn more »

Overview of the AVS Device SDK

The AVS Device SDK provides C++-based (11 or later) libraries that leverage the AVS API to create device software for Alexa-enabled products. It is modular and abstracted, providing components for handling discrete functions such as speech capture, audio processing, and communications, with each component exposing the APIs that you can use and customize for your integration. It also includes a sample app, which demonstrates the interactions with AVS.

Get Started

You can set up the SDK on the following platforms:

You can also prototype with a third party development kit

Or if you prefer, you can start with our SDK API Documentation.

Learn More About The AVS Device SDK

Watch this tutorial to learn about the how this SDK works and the set up process.

Tutorial

SDK Architecture

This diagram illustrates the data flows between components that comprise the AVS Device SDK for C++.

SDK Architecture Diagram

Audio Signal Processor (ASP) - Third-party software that applies signal processing algorithms to both input and output audio channels. The applied algorithms are designed to produce clean audio data and include, but are not limited to acoustic echo cancellation (AEC), beam forming (fixed or adaptive), voice activity detection (VAD), and dynamic range compression (DRC). If a multi-microphone array is present, the ASP constructs and outputs a single audio stream for the array.

Shared Data Stream (SDS) - A single producer, multi-consumer buffer that allows for the transport of any type of data between a single writer and one or more readers. SDS performs two key tasks:

  1. It passes audio data between the audio front end (or Audio Signal Processor), the wake word engine, and the Alexa Communications Library (ACL) before sending to AVS
  2. It passes data attachments sent by AVS to specific capability agents via the ACL

SDS is implemented atop a ring buffer on a product-specific memory segment (or user-specified), which allows it to be used for in-process or interprocess communication. Keep in mind, the writer and reader(s) may be in different threads or processes.

Wake Word Engine (WWE) - Software that spots wake words in an input stream. It is comprised of two binary interfaces. The first handles wake word spotting (or detection), and the second handles specific wake word models (in this case "Alexa"). Depending on your implementation, the WWE may run on the system on a chip (SOC) or dedicated chip, like a digital signal processor (DSP).

Audio Input Processor (AIP) - Handles audio input that is sent to AVS via the ACL. These include on-device microphones, remote microphones, an other audio input sources.

The AIP also includes the logic to switch between different audio input sources. Only one audio input source can be sent to AVS at a given time.

Alexa Communications Library (ACL) - Serves as the main communications channel between a client and AVS. The ACL performs two key functions:

  1. Establishes and maintains long-lived persistent connections with AVS. ACL adheres to the messaging specification detailed in Managing an HTTP/2 Connection with AVS.
  2. Provides message sending and receiving capabilities, which includes support JSON-formatted text, and binary audio content. For additional information, see Structuring an HTTP/2 Request to AVS.

Alexa Directive Sequencer Library (ADSL): Manages the order and sequence of directives from AVS, as detailed in the AVS Interaction Model. This component manages the lifecycle of each directive, and informs the Directive Handler (which may or may not be a Capability Agent) to handle the message.

Activity Focus Manager Library (AFML): Provides centralized management of audiovisual focus for the device. Focus is based on channels, as detailed in the AVS Interaction Model, which are used to govern the prioritization of audiovisual inputs and outputs.

Channels can either be in the foreground or background. At any given time, only one channel can be in the foreground and have focus. If multiple channels are active, you need to respect the following priority order: Dialog > Alerts > Content. When a channel that is in the foreground becomes inactive, the next active channel in the priority order moves into the foreground.

Focus management is not specific to Capability Agents or Directive Handlers, and can be used by non-Alexa related agents as well. This allows all agents using the AFML to have a consistent focus across a device.

Capability Agents: Handle Alexa-driven interactions; specifically directives and events. Each capability agent corresponds to a specific interface exposed by the AVS API. These interfaces include:

  • SpeechRecognizer - The interface for speech capture.
  • SpeechSynthesizer - The interface for Alexa speech output.
  • Alerts - The interface for setting, stopping, and deleting timers and alarms.
  • AudioPlayer - The interface for managing and controlling audio playback.
  • Notifications - The interface for displaying notifications indicators.
  • PlaybackController - The interface for navigating a playback queue via GUI or buttons.
  • Speaker - The interface for volume control, including mute and unmute.
  • System - The interface for communicating product status/state to AVS.
  • TemplateRuntime - The interface for rendering visual metadata.

Important Considerations

  • 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.
  • Please use the contact information below to-
  • IMPORTANT: The Sensory wake word engine referenced in this document 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.

Release Notes and Known Issues

Note: Features, updates, and resolved issues from previous releases are available to view in CHANGELOG.md.

v1.2 released 10/27/2017:

Enhancements

  • Updated MediaPlayer to solve stability issues
  • All capability agents were refined to work with the updated MediaPlayer
  • Added the TemplateRuntime capability agent
  • Added the SpeakerManager capability agent
  • Added a configuration option ("sampleApp":"endpoint") that allows the endpoint that SampleApp connects to to be specified without changing code or rebuilding
  • Added very verbose capture of libcurl debug information
  • Added an observer interface to observer audio state changes from AudioPlayer
  • Added support for StreamMetadataExtracted Event. Stream tags found in the stream are represented in JSON and sent to AVS
  • Added to the SampleApp a simple GuiRenderer as an observer to the TemplateRuntime Capability Agent
  • Moved shared libcurl functionality to AVSCommon/Utils
  • Added a CMake option to exclude tests from the "make all" build. Use "cmake
    -DACSDK_EXCLUDE_TEST_FROM_ALL=ON" to enable it. When this option is enabled "make unit" and "make integration" still could be used to build and run the tests

Bug Fixes

  • Previously scheduled alerts now play following a restart
  • General stability fixes
  • Bug fix for CertifiedSender blocking forever if the network goes down while it's trying to send a message to AVS
  • Fixes for known issue of Alerts integration tests fail: AlertsTest.UserLongUnrelatedBargeInOnActiveTimer and AlertsTest.handleOneTimerWithVocalStop
  • Attempting to end a tap-to-talk interaction with the tap-to-talk button wouldn't work
  • SharedDataStream could encounter a race condition due to a combination of a blocking Reader and a Writer closing before writing any data
  • Bug-fix for the ordering of notifications within alerts scheduling. This fixes the issue where a local-stop on an alert would also stop a subsequent alert if it were to begin without delay

Known Issues

  • Capability agent for Notifications is not included in this release
  • Inconsistent playback behavior when resuming content ("Alexa, pause." / "Alexa, resume."). Specifically, handling playback offsets, which causes the content to play from the start. This behavior is also occasionally seen with "Next" /
    "Previous" as well
  • ACL's asynchronous receipt of audio attachments may manage resources poorly in scenarios where attachments are received but not consumed
  • Music playback failures may result in an error Text to Speech being rendered repeatedly
  • Reminders and named timers don't sound when there is no connection
  • GUI cards don't show for Kindle

About

An SDK for commercial device makers to integrate Alexa directly into connected products.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C++ 91.8%
  • Python 5.3%
  • CMake 1.1%
  • C 0.4%
  • Shell 0.4%
  • Makefile 0.3%
  • Other 0.7%