k2-fsa/sherpa-onnx
Mar 2026 – Mar 2026
1 Month active
Languages Used
C#C++DartGoJavaJavaScriptPascalPython
Technical Skills
C# developmentC++ developmentDart programmingGo programmingJava developmentJavaScript development
danielr-ceva
PROFILE
Danielr-ceva
Daniel Rika integrated DPDFNet speech enhancement into the sherpa-onnx repository, delivering both offline and streaming denoising capabilities for audio processing workflows. He engineered support for multiple model profiles and sample rates, allowing users to balance audio quality and performance based on their needs. Using C++ and Python, Daniel embedded the DPDFNet workflow directly into the sherpa-onnx pipeline, enabling real-time denoising as well as high-quality post-processing for recorded audio. His work addressed the need for flexible, high-quality speech enhancement in both live communication and batch scenarios, laying the foundation for broader deployment and adoption across diverse applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
3,018
Activity Months1
Your Network
34 peopleShared Repositories
34
LicardoMember
pqsworldMember
zhouyongMember
ZhaoChaoqunMember
Alfredo Maria MilanoMember
Antonio ZugaldiaMember
colourmebradMember
ZhaoChaoqunMember
Sonu SinghMember
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: DPDFNet Speech Enhancement Integration for sherpa-onnx delivering offline and streaming denoising capabilities. This expansion enables real-time denoising and high-quality post-processing audio, with support for multiple model profiles and sample rates, improving user experience in real-time communication and recorded workflows. Alignment with roadmap for enhanced speech quality and flexible deployment.
1 Commits • 1 Features
Mar 1, 2026March 2026: DPDFNet Speech Enhancement Integration for sherpa-onnx delivering offline and streaming denoising capabilities. This expansion enables real-time denoising and high-quality post-processing audio, with support for multiple model profiles and sample rates, improving user experience in real-time communication and recorded workflows. Alignment with roadmap for enhanced speech quality and flexible deployment.
March 2026
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
C#C++DartGoJavaJavaScriptPascalPython
Technical Skills
C# developmentC++ developmentDart programmingGo programmingJava developmentJavaScript developmentPascal programmingPython programmingaudio enhancementspeech processing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline