NVIDIA/NeMo
Dec 2024 – Apr 2026
4 Months active
Languages Used
CSVJupyter NotebookPythonJSONYAML
Technical Skills
Audio ProcessingDeep LearningDocumentationHugging Face IntegrationModel TrainingText-to-Speech (TTS)
Ryan Langman
PROFILE
Ryan Langman
Contributed to NVIDIA/NeMo and NVIDIA/NeMo-speech-data-processor by building and refining text-to-speech (TTS) audio codec models, dataset ingestion pipelines, and evaluation frameworks. Developed Hugging Face integration for TTS codecs, streamlined model downloads, and improved onboarding through updated documentation and configuration management. Integrated the HiFiTTS-2 dataset with robust validation and Docker-based deployment, enhancing data reliability for downstream training. Refactored Magpie TTS for codec conversion and bandwidth extension, optimizing audio quality and maintainability. Enhanced evaluation robustness and CI stability by addressing test flakiness and improving metrics integrity. Leveraged Python, Docker, and PyTorch, focusing on audio processing, deep learning, and reproducible workflows.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
5
Lines of code
2,529
Activity Months5
Your Network
1808 peopleSame Organization
@nvidia.com1667
Work History
April 2026
3 Commits • 2 Features
Apr 1, 2026April 2026 NVIDIA/NeMo monthly summary: Delivered two major feature streams to advance TTS capabilities and strengthened evaluation/test reliability, driving both user-facing quality and CI stability. Key features delivered include a training-ready Semantic Audio Codec Model for TTS with configuration, architecture, and tests for functionality and performance, plus refinements to test coverage for additional model batch return values (PR #15524). Also rolled out Magpietts Evaluation Enhancements, adding normalized text input, support for relative paths in configuration, import guards, and extended test timeouts to improve robustness (PR #15608). Major bug fixes included stabilizing the codec CI by addressing end-to-end test failures (PR #15607). Additional maintenance work covered code quality improvements such as applying isort/black formatting and a refactor renaming the SLM decoder to predictor, improving clarity and maintainability.
3 Commits • 2 Features
Apr 1, 2026April 2026 NVIDIA/NeMo monthly summary: Delivered two major feature streams to advance TTS capabilities and strengthened evaluation/test reliability, driving both user-facing quality and CI stability. Key features delivered include a training-ready Semantic Audio Codec Model for TTS with configuration, architecture, and tests for functionality and performance, plus refinements to test coverage for additional model batch return values (PR #15524). Also rolled out Magpietts Evaluation Enhancements, adding normalized text input, support for relative paths in configuration, import guards, and extended test timeouts to improve robustness (PR #15608). Major bug fixes included stabilizing the codec CI by addressing end-to-end test failures (PR #15607). Additional maintenance work covered code quality improvements such as applying isort/black formatting and a refactor renaming the SLM decoder to predictor, improving clarity and maintainability.
April 2026
February 2026
1 Commits
Feb 1, 2026February 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
1 Commits
Feb 1, 2026February 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, 2026January 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.
1 Commits • 1 Features
Jan 1, 2026January 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
June 2025
3 Commits • 1 Features
Jun 1, 2025June 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
3 Commits • 1 Features
Jun 1, 2025June 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, 2024December 2024 NVIDIA/NeMo monthly summary focusing on key accomplishments and business impact.
2 Commits • 1 Features
Dec 1, 2024December 2024 NVIDIA/NeMo monthly summary focusing on key accomplishments and business impact.
December 2024
Activity
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Quality Metrics
Correctness88.0%
Maintainability86.0%
Architecture87.0%
Performance84.0%
AI Usage36.0%
Skills & Technologies
Programming Languages
CSVDockerfileJSONJupyter NotebookPythonRSTYAML
Technical Skills
Audio ProcessingCI/CDConfiguration ManagementData EngineeringData ProcessingDataset ManagementDeep LearningDockerDocumentationHugging Face IntegrationMachine LearningModel TrainingNLPPyTorchPython
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
NVIDIA/NeMo-speech-data-processor
Jun 2025 – Jun 2025
1 Month active
Languages Used
DockerfilePythonRSTYAML
Technical Skills
Audio ProcessingConfiguration ManagementData EngineeringData ProcessingDataset ManagementDocker