Blaizzy/mlx-audio
Mar 2026 – Jun 2026
4 Months active
Languages Used
MarkdownPython
Technical Skills
Audio ProcessingDeep LearningMachine LearningModel DeploymentNatural Language ProcessingPython
yoshphys
PROFILE
Yoshphys
Worked on the Blaizzy/mlx-audio repository to deliver multiple iterations of the Irodori-TTS text-to-speech system, focusing on Japanese language support and advanced voice synthesis features. Developed and integrated model architectures using Python and deep learning frameworks, introducing memory-efficient decoding, dual speaker and caption conditioning, and support for large-scale models. Emphasized robust engineering practices through comprehensive unit testing, test-driven development, and code formatting improvements with Black. Enhanced maintainability by consolidating tests, updating documentation, and ensuring backward compatibility. The work enabled scalable, reliable deployment of TTS models with features like VoiceDesign caption conditioning and chunked DACVAE decoding for efficient inference.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
5
Lines of code
6,154
Activity Months4
Your Network
77 peopleWork History
June 2026
3 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for Blaizzy/mlx-audio focusing on dual conditioning improvements for Irodori TTS and supporting documentation, with code quality enhancements and expanded test coverage. Delivered a dual speaker+caption conditioning feature with per-type KV caches, independent sampling paths, and backward compatibility for caption-only models, enabling simultaneous processing and up to 4x CFG in dual mode. Ported and integrated the 600M-v3-VoiceDesign variant, including architecture changes and new sampling/configuration flows. Updated documentation to reflect v3 VoiceDesign models and usage examples. Achieved notable code quality gains through formatting fixes, readability improvements, and regression-safe test updates.
3 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for Blaizzy/mlx-audio focusing on dual conditioning improvements for Irodori TTS and supporting documentation, with code quality enhancements and expanded test coverage. Delivered a dual speaker+caption conditioning feature with per-type KV caches, independent sampling paths, and backward compatibility for caption-only models, enabling simultaneous processing and up to 4x CFG in dual mode. Ported and integrated the 600M-v3-VoiceDesign variant, including architecture changes and new sampling/configuration flows. Updated documentation to reflect v3 VoiceDesign models and usage examples. Achieved notable code quality gains through formatting fixes, readability improvements, and regression-safe test updates.
June 2026
May 2026
1 Commits • 1 Features
May 1, 2026Concise monthly summary for Blaizzy/mlx-audio (May 2026). Focused on reinforcing TTS reliability and maintainability by delivering targeted unit tests and formatting improvements for Irodori TTS v3.
May 2026
1 Commits • 1 Features
May 1, 2026Concise monthly summary for Blaizzy/mlx-audio (May 2026). Focused on reinforcing TTS reliability and maintainability by delivering targeted unit tests and formatting improvements for Irodori TTS v3.
April 2026
4 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for Blaizzy/mlx-audio focused on delivering next-gen Irodori-TTS integration with memory-aware decoding, expanding test coverage, and improving documentation and code quality. The work enables scalable deployment of advanced TTS capabilities while reducing memory footprint and risk through thorough validation.
4 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for Blaizzy/mlx-audio focused on delivering next-gen Irodori-TTS integration with memory-aware decoding, expanding test coverage, and improving documentation and code quality. The work enables scalable deployment of advanced TTS capabilities while reducing memory footprint and risk through thorough validation.
April 2026
March 2026
5 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for Blaizzy/mlx-audio: Delivered the Irodori-TTS port for Japanese TTS into the MLX framework, enabling a ready-to-use TTS model with Diffusion Transformer (DiT), Rectified Flow sampling, and a DACVAE codec. The solution includes 48kHz audio, 128-dim latents, joint-attention components, Japanese text normalization, and HuggingFace tokenizer integration (llm-jp/llm-jp-3-150m). Implemented weight conversion workflow to MLX safetensors and added comprehensive tests.
March 2026
5 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for Blaizzy/mlx-audio: Delivered the Irodori-TTS port for Japanese TTS into the MLX framework, enabling a ready-to-use TTS model with Diffusion Transformer (DiT), Rectified Flow sampling, and a DACVAE codec. The solution includes 48kHz audio, 128-dim latents, joint-attention components, Japanese text normalization, and HuggingFace tokenizer integration (llm-jp/llm-jp-3-150m). Implemented weight conversion workflow to MLX safetensors and added comprehensive tests.
Activity
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Quality Metrics
Correctness95.4%
Maintainability93.8%
Architecture97.0%
Performance92.4%
AI Usage37.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Audio ProcessingCode FormattingDeep LearningMachine LearningModel ArchitectureModel DeploymentNatural Language ProcessingPythonPython developmentSoftware Developmentaudio processingdocumentationmachine learningmodel configurationtest-driven development
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