AI Noise Reduction Software for Voice Applications

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This deep learning-based algorithm effectively suppresses noise in speech signals while maintaining low computational requirements. It offers an efficient speech enhancement solution that can run on MCU and MPU. Additionally, the plugin includes a Voice Activity Detection (VAD) feature, which enables reliable detection of speech activity.

Diagram

AI Noise Reduction Software for Voice Applications

AI Noise Reduction software for voice applications
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Features

Key Features

  • Suppress noise in the speech signal
  • Dereverberation
  • Voice activity detection (VAD)
  • End-to-End deep learning system
  • No tuning required
  • Frequency sampling: 16 kHz, 32 kHz (i.MX voice plugin on MPU is currently 16 kHz only)

Supported Devices

  • i.MX-RT500: i.MX RT500 Crossover MCU with Arm® Cortex®-M33, DSP and GPU Cores
  • i.MX-RT600: i.MX RT600 Crossover MCU with Arm® Cortex®-M33 and DSP Cores
  • i.MX-RT700: i.MX RT700 Crossover MCU with Arm® Cortex®-M33, NPU, DSP and GPU Cores
  • i.MX-RT1170: i.MX RT1170: 1 GHz Crossover MCU with Arm® Cortex® Cores
  • i.MX8: i.MX 8 Family – Arm® Cortex®-A53, Cortex-A72, Virtualization, Vision, 3D Graphics, 4K Video
  • i.MX91: Secure, Energy-Efficient Linux Capabilities for Smart Home and Industrial Automation
  • i.MX93: i.MX 93 Applications Processor Family – Arm® Cortex®-A55, ML Acceleration, Power Efficient MPU
  • i.MX95: i.MX 95 Applications Processor Family: High-Performance, Safety Enabled Platform with eIQ® Neutron NPU
  • i.MX94: i.MX 94 Applications Processor — Safe and Secure Industrial and Automotive Connectivity with Real-Time Control

Design Resources

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