Tags: banana, pi, bpi-ai-voice, (microsemi), development, kit, bpi-microsemi, sbc, boards

Banana Pi BPI-AI-Voice (Microsemi) Development Kit

  • ¥1,107
  • 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 beamforming 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 improve 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
    BPI-AI-Voice External Interfaces
    Raspberry Pi 3/Banana Pi HeaderP2:•I²S port;•SPI;•8 GPIO
    Audio HeaderJMMA1:•Digital microphones;•Analog out;•3 GPIO
    SPI Flash DevicesU2: Optional SPI flash component used to store ZL38063 firmware
    USBJ3: Optional USB power and debug port
    Debug HeadersJAIB2/2: Auto-tuning headers
    Digital Microphone HeadersJM1–4: Optional header for off-board microphones
    Audio Characteristics
    Digital Microphones4 onboard digital microphones (AKU441): Supports a 2 microphone configuration for 180° and 360° audio pick-up
    Analog OutputJ1: 2 × 2.65 Low-cost class D audio amplifier (NCP2820)
    Connectors
    Stereo 3.5 mm male-to-male audio cableP1: Audio output
    Micro-USB cableJ3: Optional USB power and debug port


    • 2 or more ¥1,095
    • 4 or more ¥1,080
    • Brand: Banana PI
    • Product Code: bpi-microsemi
    • Availability: 117

    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 beamforming 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 improve 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
    BPI-AI-Voice External Interfaces
    Raspberry Pi 3/Banana Pi HeaderP2:•I²S port;•SPI;•8 GPIO
    Audio HeaderJMMA1:•Digital microphones;•Analog out;•3 GPIO
    SPI Flash DevicesU2: Optional SPI flash component used to store ZL38063 firmware
    USBJ3: Optional USB power and debug port
    Debug HeadersJAIB2/2: Auto-tuning headers
    Digital Microphone HeadersJM1–4: Optional header for off-board microphones
    Audio Characteristics
    Digital Microphones4 onboard digital microphones (AKU441): Supports a 2 microphone configuration for 180° and 360° audio pick-up
    Analog OutputJ1: 2 × 2.65 Low-cost class D audio amplifier (NCP2820)
    Connectors
    Stereo 3.5 mm male-to-male audio cableP1: Audio output
    Micro-USB cableJ3: Optional USB power and debug port

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