
Rory Langman contributed to the NVIDIA/NeMo and NVIDIA/NeMo-speech-data-processor repositories by building and refining features for text-to-speech audio processing and dataset management. He enabled Hugging Face integration for TTS audio codecs, streamlined model downloads, and updated documentation to improve onboarding and maintainability. Using Python, Docker, and PyTorch, Rory developed processors for HiFiTTS-2 dataset ingestion, adding validation and configuration options to ensure data integrity and reproducibility. He refactored the Magpie TTS model for enhanced codec conversion and bandwidth extension, and improved evaluation robustness, demonstrating depth in deep learning, data engineering, and workflow reliability across the audio ML pipeline.
February 2026: NVIDIA/NeMo focused on stabilizing MagpieTTS evaluation by implementing robustness improvements in the evaluation flow and ensuring metrics integrity, specifically for context audio handling and accurate metric recording.
February 2026: NVIDIA/NeMo focused on stabilizing MagpieTTS evaluation by implementing robustness improvements in the evaluation flow and ensuring metrics integrity, specifically for context audio handling and accurate metric recording.
January 2026 monthly summary for NVIDIA/NeMo focusing on Magpie TTS codec conversion and bandwidth extension improvements. Refactored the Magpie TTS model to enhance support for codec conversion and bandwidth extension, including changes to audio processing, data loading, and inference scripts to accommodate new codec handling and improve audio quality; cleanup for maintainability and performance. Commit be2fac6ed8a440ff8ba6ff2761b94a2a923ad3f2 encapsulates the change.
January 2026 monthly summary for NVIDIA/NeMo focusing on Magpie TTS codec conversion and bandwidth extension improvements. Refactored the Magpie TTS model to enhance support for codec conversion and bandwidth extension, including changes to audio processing, data loading, and inference scripts to accommodate new codec handling and improve audio quality; cleanup for maintainability and performance. Commit be2fac6ed8a440ff8ba6ff2761b94a2a923ad3f2 encapsulates the change.
June 2025 monthly summary for NVIDIA/NeMo-speech-data-processor. Focused on delivering HiFiTTS-2 dataset integration and data validation to improve dataset ingestion reliability, reproducibility, and downstream training quality. The work encompasses processor development for downloading and processing with support for 22kHz/44kHz configurations, bandwidth estimation, and data integrity checks; documentation improvements including HiFiTTS-2 links on Hugging Face; and Dockerfile/Script enhancements to streamline deployments.
June 2025 monthly summary for NVIDIA/NeMo-speech-data-processor. Focused on delivering HiFiTTS-2 dataset integration and data validation to improve dataset ingestion reliability, reproducibility, and downstream training quality. The work encompasses processor development for downloading and processing with support for 22kHz/44kHz configurations, bandwidth estimation, and data integrity checks; documentation improvements including HiFiTTS-2 links on Hugging Face; and Dockerfile/Script enhancements to streamline deployments.
December 2024 NVIDIA/NeMo monthly summary focusing on key accomplishments and business impact.
December 2024 NVIDIA/NeMo monthly summary focusing on key accomplishments and business impact.

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