
Developed and integrated a BBBA-based Audio Noise Reduction and Voice Enhancement feature for the suitenumerique/meet repository, focusing on improving in-browser audio quality for voice calls and audio-intensive applications. Replaced the existing RNN noise processor with a WebAssembly-powered pipeline that delivers voice isolation, high-pass and low-pass filtering, spectral balancing, and multiband compression. Leveraged JavaScript and TypeScript to implement the frontend integration, collaborating with the broader BBBA ecosystem to ensure seamless adoption. The work emphasized clear documentation and cross-referencing with related repositories, aligning with Prototype Fund support and advancing the project’s audio processing capabilities without introducing new bug fixes.
February 2026 monthly summary for suitenumerique/meet focused on delivering high-quality audio processing enhancements via the BBBA-based Audio Noise Reduction and Voice Enhancement feature. Replaced the previous RNN noise processor with a WASM-based pipeline powered by Big Blue Better Audio (BBBA), enabling in-browser voice isolation, multiband compression, and spectral balancing to improve speech clarity for voice calls and other audio-intensive apps. The feature aligns with Prototype Fund support and leverages collaboration with the BBBA ecosystem.
February 2026 monthly summary for suitenumerique/meet focused on delivering high-quality audio processing enhancements via the BBBA-based Audio Noise Reduction and Voice Enhancement feature. Replaced the previous RNN noise processor with a WASM-based pipeline powered by Big Blue Better Audio (BBBA), enabling in-browser voice isolation, multiband compression, and spectral balancing to improve speech clarity for voice calls and other audio-intensive apps. The feature aligns with Prototype Fund support and leverages collaboration with the BBBA ecosystem.

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