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Tags: banana, pi, bpi-ai-voice, (microsemi), development, kit, bpi-microsemi, sbc, boards
Banana Pi BPI-AI-Voice (Microsemi) Development Kit
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 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 | |||||||
| Digital Microphones | 4 onboard 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) | ||||||
| Connectors | |||||||
| Stereo 3.5 mm male-to-male audio cable | P1: Audio output | ||||||
| Micro-USB cable | J3: Optional USB power and debug port | ||||||
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 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 | |||||||
| Digital Microphones | 4 onboard 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) | ||||||
| Connectors | |||||||
| Stereo 3.5 mm male-to-male audio cable | P1: Audio output | ||||||
| Micro-USB cable | J3: Optional USB power and debug port | ||||||
