Project Overview and Objective:

Clearly state the objective of the project, which is to implement AI-based Noise Suppression and Echo Cancellation on the I2S path of an STM32 microcontroller.
Research and Requirements Gathering:

Conduct thorough research on existing AI-based noise suppression and echo cancellation algorithms suitable for embedded systems.
Identify the specific requirements and constraints of the STM32 microcontroller and the I2S path.
Algorithm Selection:

Select appropriate AI-based algorithms for noise suppression and echo cancellation that meet the project requirements and are compatible with the STM32 microcontroller’s capabilities.
Consider factors such as computational complexity, memory usage, and real-time performance.
Software Development:

Develop or adapt the selected algorithms to run efficiently on the STM32 microcontroller.
Implement the algorithms to process audio data received via the I2S interface.
Optimize the code for memory usage and computational efficiency.
Integration with STM32 Firmware:

Integrate the noise suppression and echo cancellation algorithms into the existing STM32 firmware.
Ensure compatibility with the I2S interface and other relevant peripherals.
Test the integration thoroughly to verify proper functionality.
Tuning and Optimization:

Fine-tune the parameters of the algorithms to achieve optimal noise suppression and echo cancellation performance.
Optimize the algorithms for speed and resource usage on the STM32 microcontroller.
Testing and Validation:

Develop comprehensive test cases to evaluate the effectiveness of the noise suppression and echo cancellation algorithms.
Conduct rigorous testing to ensure that the algorithms perform as expected under various conditions and scenarios.
Validate the implementation against predefined criteria and specifications.
Documentation:

Document the entire implementation process, including algorithm selection, software development, integration, tuning, and testing.
Provide clear instructions for using and maintaining the AI-based noise suppression and echo cancellation functionality on the STM32 microcontroller.
Training and Knowledge Transfer:

Provide training to relevant team members on how to use and support the implemented AI-based features.
Transfer knowledge about the implementation details, including algorithms used, optimization techniques, and troubleshooting tips.
Support and Maintenance:

Ensure ongoing support for the AI-based noise suppression and echo cancellation features, including addressing any issues or bugs that may arise.
Stay updated on new developments in the field of AI-based audio processing and incorporate improvements as necessary.

Budget: $1,000

Posted On: February 06, 2024 10:25 UTC
Category: Firmware Development
Skills:STM32, Embedded C, AdLib DSP, Algorithms

Country: India

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