ReSpeaker Core v2.0
Rated 3.5/5 based on 11 customer reviews

ReSpeaker Core v2.0

Available: In Stock
Wishlist
$141.99 $185.99
Image
  • Order within
The ReSpeaker Core v2.0 allows developers create powerful and impactful voice and sound interfaces. Suitable to use as a base for smart assistance as well as responding to environmental sounds, the ReSpeaker Core v2.0 was designed with the idea that developers deserve to have many options available to them.
We received much feedback from ReSpeaker Core v1 users and have added many requested features. Different from the original board this SBC is running Debian* with an onboard microphone array and software based voice enhancement algorithms.

The Debian and Android is supported now, for more detail please check our wiki.




A High Performance Platform



The ReSpeaker Core v2.0 is powered by the Axol Core module, featuring the Rockchip RK3229 Quad-Core Cortex-A7 with a Mali 400MP GPU, 1GB of DDR3 RAM, and a PMU. The core runs the Debian OS. This provides developers with much more flexibility and resources to create their projects.
Around the core are peripherals including a Kingston 4GB eMMC to enable the OS to run onboard, a WiFi/BLE module, USB, Grove, and HDMI connectors, the on board 6-mic array, LED ring, and more.

An Onboard 6-Mic Array with Professional Voice Enhancement Algorithms

New in our ReSpeaker product line is a software based approach to voice enhancement. The more powerful Axol Core allows the Core v2.0 to process the audio received through the 6 far field microphones in real-time. The ReSpeaker Core v2.0 supports Noise Suppression (NS), Keyword Wakeup, Direction of Arrival (DoA), Beam-forming (BF), Acoustic Echo Cancellation (AEC). Our BF and AEC algorithms are provided by Alango, a professional audio DSP company used in the automotive industry.

An Open Software Ecosystem

We recognize that each project has different requirements and goals. As such we have worked to provide as much flexibility to developers as possible. Our quad-core solution allows us to run numerous software solutions. From the selection of algorithms, NLP services, smart assistants, operating systems, and more, we wish to support our users. If you have suggestions on what services you would like to see us officially support let us know on our forums, or if you enjoy the work yourself, submit a merge request to our github.

Audio and Video Output*

Audio output is available via the 3.5mm audio jack (output only), as well as a JST two pin connector and Bluetooth. The ReSpeaker Core v2.0 supports video output through HDMI* enabling developers to create rich visual interfaces to pair with a voice interface.

*GPU not fully implemented on Debian: 1080p video playback will be available July 2018. Android 8.1 will support 4k video on release.

Customization

The ReSpeaker Core v2.0 is ready for customization. To allow quick customization we separated the core and peripherals. If a project required a custom mic array solution we are able to quickly design and manufacture to help scale. Contact us at iot@seeed.cc to learn more.




Features
Debian-Based Linux System
SDK for Speech Algorithms with Full Documents
C++ SDK and Python Wrapper
Speech Algorithms and Features
Keyword Spotting (Wake-Up)
BF (Beamforming)
DoA (Direction of Arrival)
NS (Noise Suppression)
AEC (Acoustic Echo Cancellation) and AGC (Automatic Gain Control)
All-in-One Solution with High Performance SoC
8 Channel ADC for 6 Microphone Array and 2 Loopbacks (Hardware Loopback)

Applications
Smart Speaker
Intelligent Voice Assistant System
Voice Recorder
Voice Conferencing System
Meeting Communication Equipment
Voice Interacting Robot
Car Voice Assistant
Other Scenarios Utilizing Voice Interfaces

ReSpeaker Core v2.0 - Alexa Demo








Technical details
Dimensions 100mm x96mm x18mm
Weight G.W 180g
Battery Exclude
Tips: G.W means the weight including the case / and the N.W is the weight without case, just the weight of ReSpeaker Core v2.0
ARM Quad-Core Cortex-A7 Up to 1.5GHz / ARM Mail-400MP2 GPU
1GB RAM DDR3
Audio and Video
Microphone 8 Channel ADC for 6 Microphone Array and 2 Loopbacks
Headset Connect 3.5mm Audio Headset Connector
Speaker Connector JST 2.0 Output Connector for 8 Ohm Speakers
Video Output HDMI 2.0* (Driver not yet available)
Connectivity
Wifi 802.11 b/g/n
Bluetooth/BLE Bluetooth 4.0 and Low Energy Dual-Mode
Ethernet Ethernet Interface Onboard
Flash 4GB eMMC On-board
Others SD Card Slot
3 x USB Host/OTG
1 x USB Power
1 x Grove Socket, Support I2C and Digital Port
6 x GPIO
1 x Debug UART
12 x Programmable LEDs

Part List
ReSpeaker Core v2.0 1
Micro USB Cable 1
The ReSpeaker Core v2.0 allows developers create powerful and impactful voice and sound interfaces. Suitable to use as a base for smart assistance as well as responding to environmental sounds, the ReSpeaker Core v2.0 was designed with the idea that developers deserve to have many options available to them.
We received much feedback from ReSpeaker Core v1 users and have added many requested features. Different from the original board this SBC is running Debian* with an onboard microphone array and software based voice enhancement algorithms.

The Debian and Android is supported now, for more detail please check our wiki.




A High Performance Platform



The ReSpeaker Core v2.0 is powered by the Axol Core module, featuring the Rockchip RK3229 Quad-Core Cortex-A7 with a Mali 400MP GPU, 1GB of DDR3 RAM, and a PMU. The core runs the Debian OS. This provides developers with much more flexibility and resources to create their projects.
Around the core are peripherals including a Kingston 4GB eMMC to enable the OS to run onboard, a WiFi/BLE module, USB, Grove, and HDMI connectors, the on board 6-mic array, LED ring, and more.

An Onboard 6-Mic Array with Professional Voice Enhancement Algorithms

New in our ReSpeaker product line is a software based approach to voice enhancement. The more powerful Axol Core allows the Core v2.0 to process the audio received through the 6 far field microphones in real-time. The ReSpeaker Core v2.0 supports Noise Suppression (NS), Keyword Wakeup, Direction of Arrival (DoA), Beam-forming (BF), Acoustic Echo Cancellation (AEC). Our BF and AEC algorithms are provided by Alango, a professional audio DSP company used in the automotive industry.

An Open Software Ecosystem

We recognize that each project has different requirements and goals. As such we have worked to provide as much flexibility to developers as possible. Our quad-core solution allows us to run numerous software solutions. From the selection of algorithms, NLP services, smart assistants, operating systems, and more, we wish to support our users. If you have suggestions on what services you would like to see us officially support let us know on our forums, or if you enjoy the work yourself, submit a merge request to our github.

Audio and Video Output*

Audio output is available via the 3.5mm audio jack (output only), as well as a JST two pin connector and Bluetooth. The ReSpeaker Core v2.0 supports video output through HDMI* enabling developers to create rich visual interfaces to pair with a voice interface.

*GPU not fully implemented on Debian: 1080p video playback will be available July 2018. Android 8.1 will support 4k video on release.

Customization

The ReSpeaker Core v2.0 is ready for customization. To allow quick customization we separated the core and peripherals. If a project required a custom mic array solution we are able to quickly design and manufacture to help scale. Contact us at iot@seeed.cc to learn more.




Features
Debian-Based Linux System
SDK for Speech Algorithms with Full Documents
C++ SDK and Python Wrapper
Speech Algorithms and Features
Keyword Spotting (Wake-Up)
BF (Beamforming)
DoA (Direction of Arrival)
NS (Noise Suppression)
AEC (Acoustic Echo Cancellation) and AGC (Automatic Gain Control)
All-in-One Solution with High Performance SoC
8 Channel ADC for 6 Microphone Array and 2 Loopbacks (Hardware Loopback)

Applications
Smart Speaker
Intelligent Voice Assistant System
Voice Recorder
Voice Conferencing System
Meeting Communication Equipment
Voice Interacting Robot
Car Voice Assistant
Other Scenarios Utilizing Voice Interfaces

ReSpeaker Core v2.0 - Alexa Demo








Technical details
Dimensions 100mm x96mm x18mm
Weight G.W 180g
Battery Exclude
Tips: G.W means the weight including the case / and the N.W is the weight without case, just the weight of ReSpeaker Core v2.0
ARM Quad-Core Cortex-A7 Up to 1.5GHz / ARM Mail-400MP2 GPU
1GB RAM DDR3
Audio and Video
Microphone 8 Channel ADC for 6 Microphone Array and 2 Loopbacks
Headset Connect 3.5mm Audio Headset Connector
Speaker Connector JST 2.0 Output Connector for 8 Ohm Speakers
Video Output HDMI 2.0* (Driver not yet available)
Connectivity
Wifi 802.11 b/g/n
Bluetooth/BLE Bluetooth 4.0 and Low Energy Dual-Mode
Ethernet Ethernet Interface Onboard
Flash 4GB eMMC On-board
Others SD Card Slot
3 x USB Host/OTG
1 x USB Power
1 x Grove Socket, Support I2C and Digital Port
6 x GPIO
1 x Debug UART
12 x Programmable LEDs

Part List
ReSpeaker Core v2.0 1
Micro USB Cable 1

RETURNS POLICY

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi ut blandit risus. Donec mollis nec tellus et rutrum. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Ut consequat quam a purus faucibus scelerisque. Mauris ac dui ante. Pellentesque congue porttitor tempus. Donec sodales dapibus urna sed dictum. Duis congue posuere libero, a aliquam est porta quis.

Donec ullamcorper magna enim, vitae fermentum turpis elementum quis. Interdum et malesuada fames ac ante ipsum primis in faucibus.

Curabitur vel sem mi. Proin in lobortis ipsum. Aliquam rutrum tempor ex ac rutrum. Maecenas nunc nulla, placerat at eleifend in, viverra etos sem. Nam sagittis lacus metus, dignissim blandit magna euismod eget. Suspendisse a nisl lacus. Phasellus eget augue tincidunt, sollicitudin lectus sed, convallis desto. Pellentesque vitae dui lacinia, venenatis erat sit amet, fringilla felis. Nullam maximus nisi nec mi facilisis.

SHIPPING

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi ut blandit risus. Donec mollis nec tellus et rutrum. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Ut consequat quam a purus faucibus scelerisque. Mauris ac dui ante. Pellentesque congue porttitor tempus. Donec sodales dapibus urna sed dictum. Duis congue posuere libero, a aliquam est porta quis.

Donec ullamcorper magna enim, vitae fermentum turpis elementum quis. Interdum et malesuada fames ac ante ipsum primis in faucibus.

Curabitur vel sem mi. Proin in lobortis ipsum. Aliquam rutrum tempor ex ac rutrum. Maecenas nunc nulla, placerat at eleifend in, viverra etos sem. Nam sagittis lacus metus, dignissim blandit magna euismod eget. Suspendisse a nisl lacus. Phasellus eget augue tincidunt, sollicitudin lectus sed, convallis desto. Pellentesque vitae dui lacinia, venenatis erat sit amet, fringilla felis. Nullam maximus nisi nec mi facilisis.