June 2026 monthly summary for Blaizzy/mlx-audio. Focused on Nemotron ASR streaming, resampling quality, and code maintainability. Delivered cache-aware streaming for Nemotron ASR with per-layer attention and causal-conv caches enabling streaming transcription with minimal recomputation; added tests to ensure streaming results match offline generation. Sharpened anti-aliasing filter for audio resampling, reducing downsampling artifacts and added regression tests. Refactored code to move alignment.py into a shared Nemo package to reduce coupling between Nemotron ASR and Parakeet; expanded test coverage with stream_generate tests including edge-case verification.

May 2026 summary for Blaizzy/mlx-audio: Delivered a performance-focused STT/Cohere ASR VAD upgrade with a migration to in-tree MLX Silero VAD using 256ms aggregation, removing legacy runtime dependencies and reducing downstream chunking. Achieved measurable gains in accuracy and efficiency, and laid groundwork for Mega-ASR porting and broader MLX integration. Included comprehensive documentation, parity testing, and CI/test improvements to support scalable deployment. This month focused on business value: lower latency, higher accuracy, simpler deployments, and robust test coverage for future model integrations.

April 2026 performance summary for Blaizzy/mlx-audio: delivered a major end-to-end OmniVoice upgrade enabling zero-shot multilingual TTS with voice cloning, enhanced by a new HiggsAudioV2 tokenizer and a non-autoregressive diffusion backbone, plus batch processing and an auto duration estimator to scale throughputs. Strengthened model robustness and throughput with quantized checkpoint support, improved sanitization for weight layouts, and refactored encode/decode parity. Restored and hardened Cohere ASR quantized inference, augmented with VAD preprocessing and multi-batch performance improvements that reduce latency and improve transcription accuracy. Documentation and test hygiene were tightened with consolidated tests and formatting fixes to improve CI reliability. Key themes: TTS/ASR quality, scalability, and robustness through end-to-end MLX integration, quantization support, and batch processing.

March 2026 monthly summary for Blaizzy/mlx-audio. Delivered major LID enhancements and API simplifications focused on business value: improved language identification capabilities, faster and more reliable inference, and a streamlined API.

February 2026 monthly summary: Focused on stabilizing multilingual NLP tooling and expanding language identification capabilities, delivering tangible business value through reliability improvements, broader language support, and maintainable code quality across two core repos.

December 2025 monthly summary for Blaizzy/mlx-audio focusing on delivering business value through performance improvements, packaging simplification, and reliability enhancements. The team shipped several key features, fixed critical issues, and implemented robust testing and CI practices that collectively improved startup times, deployment ease, and test stability across environments.

October 2025: Concluded focused API documentation and branding enhancements across two repositories to improve developer experience and release readiness. In modelcontextprotocol/registry, introduced OpenAPI tags to organize endpoints and enhance SDK generation, including tag metadata for servers and publish operations in both Go code and the OpenAPI spec. In truenas/apps, completed LibreChat branding refresh by updating the app title and bumping the release to 1.0.2, aligning branding with the product and preparing for a broader rollout. Collectively, these changes streamline client library generation, enhance documentation clarity, and support consistent branding across the platform.