Overview
This VUI partner-enabled reference design is based on the RA family of 32-bit MCUs. Renesas uses this hardware platform for VUI partner-enabled solutions provided within the Renesas Partner Network. It shows how easy it is to control your system with a simple voice-command interface without extensive coding experience or in-house expertise.
You will build an enhanced working solution that recognizes your own voice commands to trigger the corresponding operation using the Renesas Partner Network Solutions utilizing the Voice Hardware Platform.
Features
- Hardware Features
- Compact VUI solution using RA4E1. Small 10mm x 10mm size to fit into the end product.
- Local voice recognition algorithm, no network connectivity needed.
- Choices of digital and analog microphones are populated for alternative input options.
- External QSPI flash memory enhances storage for voice samples and library data.
- Cyberon DSpotter (PDF) Enabled Features:
- Global language support of 40+ languages worldwide.
- Support voice tag function to let a user change command by voice recording.
- Support voice response function for acknowledge and enhancing user experience.
- DSMT tool supports wake-word and commands customization, performance tuning, testing, no prior neural network knowledge needed.
- Low Bill of Materials (BOM) cost and footprint. The minimum requirements are the MCU, one DMIC, and a power supply.
RA4E1 Voice User Demonstration Board
Design Files & Documentation
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- Quick Start Guide
- Brochure
- White PaperThis Design Journey demonstrates how to integrate Renesas RA6/4/2 MCUs with Cyberon DSpotter Voice UI technology to create a local, non-connected speech recognition solution for LED-based light bulb control. By designing a simple circuit and accompanying software, this guide highlights the ease, efficiency, and maintainability of incorporating Voice UI into your product using the RA6 Voice Kit.
- White PaperTraditional voice or speech recognition technology is based on a trained model with specific words or phrases. Natural language processing is word-order independent. This requires large computing power to run the real time data through a neural network. The Cyberon approach is different, allowing the algorithms to run on a small, general purpose MCU.
- Manual - Development Tools
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- Manual - Development Tools
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Manuals & Guides (2)
- White PaperThis Design Journey demonstrates how to integrate Renesas RA6/4/2 MCUs with Cyberon DSpotter Voice UI technology to create a local, non-connected speech recognition solution for LED-based light bulb control. By designing a simple circuit and accompanying software, this guide highlights the ease, efficiency, and maintainability of incorporating Voice UI into your product using the RA6 Voice Kit.
- White PaperTraditional voice or speech recognition technology is based on a trained model with specific words or phrases. Natural language processing is word-order independent. This requires large computing power to run the real time data through a neural network. The Cyberon approach is different, allowing the algorithms to run on a small, general purpose MCU.
Application Notes & White Papers (2)
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Partner Solutions
Software
Supporting content such as a Board Support Package (BSP) and Quick Setup Guide (QSG) are available from the Renesas Ready Solutions Repository on GitHub.
Tool
To use Cyberon’s D‑Spotter Modeling Tool (DSMT) with this kit, please request Cyberon’s D‑Spotter Modeling Tool by completing and submitting the form.
- Software PackageFSP is an enhanced software package designed to provide easy-to-use, scalable, high-quality software for embedded system designs using Renesas RA Family of Arm Microcontrollers. Note: FSP with e² studio Installer (Platform Installer) will install the e² studio tool, FSP packs, GCC toolchain, and Segger J-Link drivers required to use this software. No additional installations are required.
- Solution ToolkitRound-trip workflow for AI development and performance validation allowing to collect data, optimize models, and deploy directly to Renesas hardware
- PCB Design Files
- Sample Code
- AIProvides local voice trigger and command recognition with robust noise reduction. Consumes very low resources while delivering high-accuracy performance. Runs on Renesas RA microcontroller unit (MCU) family, RX671, and RX72N, supporting multiple languages, connectivity functions, and security capabilities depending on the selected MCU. Enables offline operation without cloud connectivity for privacy and reliability.Provided By: Cyberon
- AILocal AI–based Spoken Language Understanding (SLU) model recognizes predefined key phrases with support for over 1 million phrases. Enables flexible grammar and vocabulary definition, allowing voice commands in varied formats to be accurately interpreted. Delivers 98%–99% accuracy with ~200 ms latency for fast, reliable response. Uses a customizable 400–600KB model. Runs on Cortex-M3, RISC-V, and low-power NPU. Robust in noisy and far-field conditions with low false triggers. Supports EN, CH, JP, and KR for appliances and wearables.Provided By: Aizip Inc.
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- Software PackageFSP is an enhanced software package designed to provide easy-to-use, scalable, high-quality software for embedded system designs using Renesas RA Family of Arm Microcontrollers. Note: FSP with e² studio Installer (Platform Installer) will install the e² studio tool, FSP packs, GCC toolchain, and Segger J-Link drivers required to use this software. No additional installations are required.
- Solution ToolkitRound-trip workflow for AI development and performance validation allowing to collect data, optimize models, and deploy directly to Renesas hardware
- PCB Design Files
Software & Tools (3)
- Sample Code
Sample Code (1)
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- AIProvides local voice trigger and command recognition with robust noise reduction. Consumes very low resources while delivering high-accuracy performance. Runs on Renesas RA microcontroller unit (MCU) family, RX671, and RX72N, supporting multiple languages, connectivity functions, and security capabilities depending on the selected MCU. Enables offline operation without cloud connectivity for privacy and reliability.Provided By: Cyberon
- AILocal AI–based Spoken Language Understanding (SLU) model recognizes predefined key phrases with support for over 1 million phrases. Enables flexible grammar and vocabulary definition, allowing voice commands in varied formats to be accurately interpreted. Delivers 98%–99% accuracy with ~200 ms latency for fast, reliable response. Uses a customizable 400–600KB model. Runs on Cortex-M3, RISC-V, and low-power NPU. Robust in noisy and far-field conditions with low false triggers. Supports EN, CH, JP, and KR for appliances and wearables.Provided By: Aizip Inc.
Partner Solutions (2)
Sample & Buy
TW001-VUIA4E1POCZ
Active| Key Features: | Command Recognition |
| MCU/MPU: | RA4E1 (Arm CM33, 100MHz, 512KB/128KB/8KB, 48QFN) |
| Additional Features: | 1xDMIC, 2xAMIC, Half-QSPI, USB-C/B, UART, DAC AUDIO OUT, 2xOP-AMP, J-Link Segger |
Application Block Diagrams
 | Edge Voice User Interface (VUI) Voice control with RA MCUs offers efficient, network-free voice recognition for smart devices. |
Videos & Training
Voice recognition systems often struggle with background noise, leading to user frustration. Discover how the Renesas audio combination application solution integrates audio pre-processing and voice command recognition to deliver improved accuracy and enhanced reliability, even in noisy environments.
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- Voice Kit with RA Family: What is included in the kit and any other components to prepare in addition?
... us/en/products/microcontrollers-microprocessors/ra-cortex-m-mcus/tw001-vuia6e1pocz-ra6e1-voice-user-reference-kitRA4E1 Voice User Reference Kit (TW001-VUIA4E1POCZ): https://www.renesas.com/us/en/products/microcontrollers-microprocessors/ra-cortex-m-mcus/tw001-vuia4e1pocz ...
Jul 26, 2024
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