
Worked on the libsdl-org/opus repository, focusing on audio signal processing and data preprocessing using Python and Numpy. Developed a reproducibility enhancement for the concatenator script, introducing a seed argument to ensure deterministic normalization and reliable benchmarking. Improved data integrity in the LPCNetVocodingDataset by correcting period processing logic, ensuring valid integer values for model evaluation. Built a high-band audio quality evaluation script that computes band-wise distortions between reference and test audio using STFT and filter banks, supporting objective assessment of high-band processing. Emphasized reproducible workflows, disciplined scripting, and scientific computing practices to enhance audio QA and data reliability.
2025-07 Monthly summary for libsdl-org/opus: Delivered a High-Band Audio Quality Evaluation Script, enabling objective assessment of high-band processing. The Python tool computes band-wise distortions between reference and test audio using STFT and a filter bank, comparing against a low-pass filtered reference and a frequency-flipped reference to quantify high-band quality. Major bugs fixed: none reported this month. Overall impact: establishes a reproducible QA workflow for high-band audio quality, enabling faster iteration and better QA gates for high-band processing. Technologies demonstrated: Python scripting, STFT, filter banks, audio-processing concepts, and disciplined version control.
2025-07 Monthly summary for libsdl-org/opus: Delivered a High-Band Audio Quality Evaluation Script, enabling objective assessment of high-band processing. The Python tool computes band-wise distortions between reference and test audio using STFT and a filter bank, comparing against a low-pass filtered reference and a frequency-flipped reference to quantify high-band quality. Major bugs fixed: none reported this month. Overall impact: establishes a reproducible QA workflow for high-band audio quality, enabling faster iteration and better QA gates for high-band processing. Technologies demonstrated: Python scripting, STFT, filter banks, audio-processing concepts, and disciplined version control.
June 2025 monthly summary for libsdl-org/opus focusing on reproducibility and data processing reliability. Delivered a reproducibility enhancement in the concatenator script and fixed period data processing in LPCNetVocodingDataset, improving determinism, data integrity, and model evaluation stability.
June 2025 monthly summary for libsdl-org/opus focusing on reproducibility and data processing reliability. Delivered a reproducibility enhancement in the concatenator script and fixed period data processing in LPCNetVocodingDataset, improving determinism, data integrity, and model evaluation stability.

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