Blaizzy/mlx-audio
Jan 2026 – Jan 2026
1 Month active
Languages Used
C++Python
Technical Skills
Apple Silicon (Metal)Audio ProcessingC++MLX FrameworkMachine LearningModel Optimization
Dmitry Starkov
PROFILE
Dmitry Starkov
During January 2026, Starkdmi developed the MossFormer2 SE model for speech enhancement in the Blaizzy/mlx-audio repository. This work enabled efficient 48kHz audio processing on Apple Silicon by leveraging the Metal API and optimizing the audio pipeline for various precision levels. Starkdmi refactored core components in C++ and Python, focusing on performance improvements and throughput for real-time speech enhancement tasks. The project included comprehensive documentation and robust testing to ensure reliability and maintainability. By integrating machine learning techniques with the MLX framework, Starkdmi addressed the challenge of high-fidelity speech enhancement, demonstrating depth in model optimization and audio processing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
3,831
Activity Months1
Your Network
2984 peopleSame Organization
@users.noreply.github.com2930
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focusing on delivered features, major fixes, impact, and skills demonstrated for Blaizzy/mlx-audio.
1 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focusing on delivered features, major fixes, impact, and skills demonstrated for Blaizzy/mlx-audio.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Apple Silicon (Metal)Audio ProcessingC++MLX FrameworkMachine LearningModel OptimizationPythonSpeech Enhancement
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