Difference between revisions of "BPI-AI-Voice (Microsemi)"
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| − | | style="background: PaleTurquoise; color: black" colspan="8"| '''BPI-AI-Voice''' | + | | style="background: PaleTurquoise; color: black" colspan="8"| '''BPI-AI-Voice External Interfaces''' |
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|Digital Microphone Headers || JM1–4: Optional header for off-board microphones | |Digital Microphone Headers || JM1–4: Optional header for off-board microphones | ||
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| + | | style="background: PaleTurquoise; color: black" colspan="8"| '''Audio Characteristics''' | ||
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| + | |Digital Microphones|| 4 on-board digital microphones (AKU441): Supports a 2 microphone configuration for 180° and 360° audio pick-up | ||
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| + | |Analog Output || J1: 2 × 2.65 Low cost class D audio amplifier (NCP2820) | ||
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Revision as of 02:30, 29 May 2018
Contents
Introduction
Banana Pi BPI-AI-Voice(Microsemi) module for speech recognition,Now you can use it on Raspberry pi with amazon AVS, same as Microsemi AcuEdge™ Development Kit
BPI-AI-Voice (Microsemi) development kit
- Tested and approved by Amazon for
- — microphone solution for both 180o & 360o audio pick-up
- Amazon ecosystem
- —Reference code implements complete Echo functionality
- —Provides developer access to Alexa Skills
- Provides a fast and easy way method of evaluating Microsemi’s Automatic Speech Recognition Assist audio enhancement solution with Amazon’s AVS
- Fast Prototyping
- —Application development platform
- —HW prototyping
- Training Tool
Key Features
- Supports 2 or 3 microphones linear or triangular array placement for enhanced audio pick up
- Noise reduction
- Smart automatic gain control (AGC)
- High-quality stereo acoustic echo canceller for barge-in and full duplex audio
- Fully configurable and scalable solution delivering a two microphone configuration for both 180° and 360° audio pick-up
- Enhanced beam forming technology to enhance audio pick-up in adverse conditions, in presence of noise and outside sound sources
- 2-way full duplex voice communication
- Turnkey designs available as well as all appropriate drivers and documentation, along with worldwide support
Hardware
Designed for world-class voice front-end applications, Microsemi’s new ZL38063 audio processor features the company’s AcuEdge™ technology. This innovative technology is a set of highly-complex and integrated algorithms that significantly improves automatic speech recognition (ASR) for both embedded and cloud-based ASR solutions. The ZL38063 delivers audio enhancements that perform noise reduction and smart automatic gain control (AGC), enabling speech recognition at distance in noisy, real-world conditions.
Application Examples
- IoT Sensor
- Smart Lighting
- Smart Thermostat
- Home Gateway/Controller
- Speaker/Sound Bar
- TV/Set-Top Box
Hardware Spec
To make a fully assembled smart speaker demo the following additional components are required:
- Raspberry Pi 3 board or Banana pi board
- 2A or greater Micro-USB power supply for the Raspberry Pi 3
- SD memory card for Raspberry Pi/Banana pi
- JBL Clip speaker
External Interfaces:
| BPI-AI-Voice External Interfaces | |||||||
| Raspberry Pi 3/Banana Pi Header | P2:•I²S port;•SPI;•8 GPIO | ||||||
| Audio Header | JMMA1:•Digital microphones;•Analog out;•3 GPIO | ||||||
| SPI Flash Devices | U2: Optional SPI flash component used to store ZL38063 firmware | ||||||
| USB | J3: Optional USB power and debug port | ||||||
| Debug Headers | JAIB2/2: Auto tuning headers | ||||||
| Digital Microphone Headers | JM1–4: Optional header for off-board microphones | ||||||
Audio Characteristics:
| Audio Characteristics | |||||||
| Digital Microphones | 4 on-board digital microphones (AKU441): Supports a 2 microphone configuration for 180° and 360° audio pick-up | ||||||
| Analog Output | J1: 2 × 2.65 Low cost class D audio amplifier (NCP2820) | ||||||
GPIO Pin define
Software
Building Your Alexa AVS Smart Speaker Prototype
Microsemi's Amazon Alexa development kit is designed to help developers quickly and easily set up prototypes that demonstrate a high quality voice recognition interface. It comes complete with all the building blocks to help developers build their smart speaker prototypes.now ,we just design this AI board ,not test on banana pi SBC ,this project with Amazon and Microsemi just support raspberry pi 3.
Development Kit Technology Segmentation
Supporting the Amazon AVS Ecosystem
Developers can use Microsemi's Amazon Alexa development kit to build customer solutions for Internet of Things (IoT), smart home and industrial applications.
amazon AVS project
- Microsemi website project: https://www.microsemi.com/product-directory/connected-home/4628-zlk38avs#overview
- Microsemi wiki : https://github.com/Microsemi/ZLK38AVS/wiki
- amazon AVS project:https://developer.amazon.com/alexa-voice-service/dev-kits/microsemi-acuedge/
Resources
- Learn More from Microsemi : https://www.microsemi.com/product-directory/connected-home/4628-zlk38avs#overview
- BPI-AI-Voice(Microsemi) document:https://drive.google.com/open?id=0B_YnvHgh2rwjLTVpa3NnQno1LWs
- Microsemi ZLE38AVS2 Hardware User_Guide : https://github.com/Microsemi/ZLK38AVS/blob/master/docs/Microsemi_ZLE38AVS2_Hardware_User_Guide.pdf
- Microsemi ZLK38AVS2 Quickstart : https://github.com/Microsemi/ZLK38AVS/blob/master/docs/Microsemi_ZLK38AVS2_Quickstart.pdf
- source code on github: https://github.com/Microsemi/ZLK38AVS/wiki/howto
- Banana Pi BPI-AI-Voice Alexa Voice demo : https://www.youtube.com/watch?v=jD95MZLYdRU&feature=youtu.be
- easy to buy sample from aliexpress
