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How Would You RoadTest the Matrix Voice

rscasny

Voice applications are gaining popularity. The apps can range from far field voice captures, acoustic source localization, beamforming, noise suppression, acoustic echo cancellation, voice recognition integration, and more.image

 

So, it should be no surprise to the RoadTester group that I would be approached to roadtest a voice-app dev board. Enter, the Matrix Voice.

 

Last year, we roadtested the Matrix Creator for the Raspberry Pi , which is an expansion daughter board for the Raspberry Pi. The Matrix Voice has the same circular shape as the Creator, but is a simple, easy-to-use, open-source voice recognition platform. It's 3.14 inches in diameter with a radial array of 7 MEMS microphones connected to a Xilinx Spartan 6 FPGA and 64 Mbit SDRAM with 18 RGBW LED's and 16 GPIO pins.

 

There are two versions of the Matrix Voice: one version works with the Raspberry Pi, and the other version has an onboard ESP32 Wi-Fi/BT module with a 32 bit microcontroller, so it can work as a standalone device. Since I know my Roadtesters love the tech details, here's a few specs:

 

  • FPGA : Xilinx Spartan 6 FPGA XC6SLX9
  • 18 RGBW LEDs (link)
  • 8 MEMS audio sensor MP34DB02
  • 16 external GPIO. These are connected to FPGA so they can implement any digital
  • interface e.eg PWM, Servo, UART, I2C etc.
  • Serial Flash 64MBIT - MX25L6406E
  • DDR2 SDRAM 512MBIT - MT47H32M16
  • 3W Stereo Class-D Audio Amplifier and Class-AB Headphone Driver - PAM8019
  • 3.5mm audio output jack

 

Here's a few tech resources for you to examine:

 

So here's my question: How Would You roadTest the Matrix Voice? What would you build with the Matrix Voice? What would you like to know about the Matrix Voice. Leave your thoughts and comments below. Thanks.

 

Randall Scasny

RoadTest Program Manager

 

 

Before I go.....

 

I saw this video on youtube where the Matrix Voice was used with Alexa. Some asked:

 

"Alexa, how much wood can a wood chuck chuck if a wood chuck could chuck wood? Watch the video to find out:

 

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  • Hi Randall,

     

    When I saw this device I had two thoughts.

    One was to use it for direction finding for thunder to alert someone about the direction of an approaching thunder storm.

    The other thought was for tracking individuals in a meeting room. I am assuming that you could have everyone identify themselves and use the microphones to map each person. You could then copy statements made by each person during the meeting using the previous location information to identify the talker without needing to do voice comparison. You could also use the voice comparison to track the movement of a specific speaker within the room.

     

    DAB

Reply

  • Hi Randall,

     

    When I saw this device I had two thoughts.

    One was to use it for direction finding for thunder to alert someone about the direction of an approaching thunder storm.

    The other thought was for tracking individuals in a meeting room. I am assuming that you could have everyone identify themselves and use the microphones to map each person. You could then copy statements made by each person during the meeting using the previous location information to identify the talker without needing to do voice comparison. You could also use the voice comparison to track the movement of a specific speaker within the room.

     

    DAB

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