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Ryan Langman

PROFILE

Ryan Langman

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.

Overall Statistics

Feature vs Bugs

75%Features

Repository Contributions

7Total
Bugs
1
Commits
7
Features
3
Lines of code
1,430
Activity Months4

Work History

February 2026

1 Commits

Feb 1, 2026

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

1 Commits • 1 Features

Jan 1, 2026

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

3 Commits • 1 Features

Jun 1, 2025

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

2 Commits • 1 Features

Dec 1, 2024

December 2024 NVIDIA/NeMo monthly summary focusing on key accomplishments and business impact.

Activity

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Quality Metrics

Correctness88.6%
Maintainability85.6%
Architecture87.2%
Performance82.8%
AI Usage31.4%

Skills & Technologies

Programming Languages

CSVDockerfileJupyter NotebookPythonRSTYAML

Technical Skills

Audio ProcessingConfiguration ManagementData EngineeringData ProcessingDataset ManagementDeep LearningDockerDocumentationHugging Face IntegrationMachine LearningModel TrainingPyTorchPythonPython DevelopmentText-to-Speech (TTS)

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

NVIDIA/NeMo

Dec 2024 Feb 2026
3 Months active

Languages Used

CSVJupyter NotebookPython

Technical Skills

Audio ProcessingDeep LearningDocumentationHugging Face IntegrationModel TrainingText-to-Speech (TTS)

NVIDIA/NeMo-speech-data-processor

Jun 2025 Jun 2025
1 Month active

Languages Used

DockerfilePythonRSTYAML

Technical Skills

Audio ProcessingConfiguration ManagementData EngineeringData ProcessingDataset ManagementDocker