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banana-AI-Voice (Microsemi)

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₹11,000.00
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Quick Overview

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

Details

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.

                                          Microsemi AI 1.png

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



 

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