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The ReSpeaker Mic Array v2.0 is a hardware-based solution for creating or adding voice-interface to your projects. The board is a far-field microphone array device capable of detecting voices up to 5m away even with the presence of background noise. The onboard hardware-enabled algorithms are powered by the XMOS XVF-3000.
Several improvements have been made since the original ReSpeaker Mic Array v1.0. The first thing you may notice is the reduction of microphones. With the improved performance of the XMOS XVF-3000, including the improved full duplex AEC, we’ve been able to deliver increased performance with fewer microphones, and thus a lower cost.
We’ll be offering our customization services for this device in the future. Contact email@example.com to learn more.
Pick Up Voices From Far Away
Far-field voice capture enables you to capture and understand requests from up to 5m away
Focus On The Right Voice
DoA allows the device to know the direction of a source
BF allows the device to focus only on sounds that come from the target direction
Ignore background noise and chatter through NS
Improved Voice Audio Quality
Reduces environmental voice echo with de-reverberation
Remove current audio output with AEC
If you think this sounds good, great! But let us prove it. One of our engineers recorded himself speaking over music being played. Hear for yourself how it really sounds with our full-duplex AEC demo below.
This is the raw data captured from the environment. There is no editing on this channel. Our engineer played some music from the device and spoke at the same time.
Channel 1 Audio:
This is the music that the device was playing at the time.
Channel 5 Audio:
This is the end result after processing. The music was almost completely removed resulting in a high quality voice input.
Channel 0 Audio:
When it comes to development we believe you should have as many options as possible. The ReSpeaker Mic Array v2.0 is able to work with most modern Linux, macOS, and Windows systems*.*We do recommend Linux for firmware updates.
We are working hard to ensure the setup is simple. The documentation on our wiki will help you get up and running quickly, and should unknown issues pop up our tech support team is ready to help. You can ask questions in our ReSpeaker forum, which is checked daily. You can also check out the GitHub for more support.
• XVF-3000 from XMOS
• 4 High Performance Digital Microphones
• Supports Far-field Voice Capture
• Speech Algorithms On-Chip
• 12 Programmable RGB LED Indicators
• Microphones: ST MP34DT01TR-M
• Sensitivity: -26 dBFS (Omnidirectional)
• Acoustic Overload Point: 120 dBSPL
• SNR: 63 dB
• Power Supply: 5V DC from Micro USB or Expansion Header
• Dimensions: 70mm (Diameter)
• 3.5mm Audio Jack Output Socket
• USB Voice Capture
• Smart Speaker
• Intelligent Voice Assistant Systems
• Voice Recorders
• Voice Conferencing System
• Meeting Communicating Equipment
• Voice Interacting Robot
• Car Voice Assistant
• Other Voice Interface ScenariosReSpeaker Mic Array v2.0 - DOA & AEC Test
ODAS demo in ReSpeaker Mic Array v2.0.
Seeed’s ReSpeaker Mic Array v2.0 is an upgraded version of ReSpeaker Mic Array v1 which based on XVSM-2000.
Hi there, We updated the firmware and please follow below instructions to burn the firmware and it will solve the issue. thanks.
Hi Paul, It is in stock now, date Feb. 01 2019.
Hi Paul, I am sorry that the above information is incorrect, which is causing you trouble. This product will be available after the Chinese New Year holiday. Which is Feb.11 or later. Regards
Hi there, For andriod, we tested it with emteria.OS(andriod 7.1) on Raspberry. We plug the mic array v2.0 to raspberry pi USB port and select the ReSpeaker mic array v2.0 as audio device. We do not test it with Fire HD 8. thanks. Bill
Hi there, we use the xmos chip, the software is also from xmos and we do little modification. thanks.
Hi, ReSpeaker Mic Array v2.0 is restock now, thank you for your concerning!
Hi there, Sorry we do not have that function. thanks.
Hi there, the mic array v2.0, we use the XMOS DSP algorithm. For respeaker core v2.0, we use the alango software algorithm. Both of them are not open source. For more info, please check the wikis. thanks.
Hi there, it shall work, we can connect it to raspberry pi usb port. because the snips support the raspberry pi. thanks.
Hi there, we do not test it with snips yet. thanks.
Hi there, respeaker mic array v2.0 uses the usb1.0. You can connect it to raspberry pi to extract the audio. It shall support the snips ai. but we do not test it yet. thanks.
Hi there, here are the items we can check.
1. please make sure the usb cable with 4 wires, vcc,gnd, dp, dm. it can transfer data. some usb cable has gnd and vcc only.
2. please connect to windows/mac to see if it can detect the mic array v2.0
3. please drop mail to firstname.lastname@example.org if the issue is not solved. thanks.
Hi there, here are the items we can check. 1. please make sure the usb cable with 4 wires, vcc,gnd, dp, dm. it can transfer data. some usb cable has gnd and vcc only. 2. please connect to windows/mac to see if it can detect the mic array v2.0 3. please drop mail to email@example.com if the issue is not solved. thanks.
Hi there, it shall work, you have to configure the mic as audio device and then play the music on the andriod phone, you shall be able to hear the music. Some andriod devices may not enable the usb audio devices functions. it needs some other app to select the usb audio. thanks.
That is clear what i would like to know the current that is drawn (example from USB power supply it sink 80mA). Im thinking to use it for battery powered device.
Hi,friend- you'd better contact us by firstname.lastname@example.org***, we can discuss more details about your problem, thanks!
Hi, there. sorry, please search the key word for its more imformation, thanks!
Hi there, we use it on win10 pc and do not see the issue before. please drop a mail to email@example.com about the detail info. Can you see the respeaker in win10 device manager, please? how do you confirm them dead? thanks.
Hi,thks,After much effort,now it works well with my andriod system,except voice recognition is invalid when the music voice is a little bit louder,and I saw the new version with fixed gain in github,does it means AGCGAIN? Would it be better for me to use the larger gain version?
The build-in algorithms needs to know the geometry of the mic array to work well