Difference between revisions of "BPI-AI-Voice (Microsemi)"
(→Software) |
(→amazon AVS project) |
||
| Line 76: | Line 76: | ||
==amazon AVS project== | ==amazon AVS project== | ||
*Microsemi website project: https://www.microsemi.com/product-directory/connected-home/4628-zlk38avs#overview | *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/ | *amazon AVS project:https://developer.amazon.com/alexa-voice-service/dev-kits/microsemi-acuedge/ | ||
Revision as of 03:05, 28 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
- Audio barge-in
- Supports 360o sound location estimation
- Noise reduction
- Smart automatic gain control (AGC)
- Dereveberation
- Two way communication
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
- Set Top Box
- Smart Gateway
- Smart Lighting
- Smart Speaker
- Smart Thermostat
Hardware Spec
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
- 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:https://pt.aliexpress.com/store/product/Bananeira-Pi-BPI-AI-Voz-Microsemi-m-dulo-de-reconhecimento-de-fala/302756_32860708533.html?spm=a2g03.12010612.0.0.15997559bxCsAz
