k2-fsa/sherpa-onnx
Jan 2026 – Jan 2026
1 Month active
Languages Used
C++Python
Technical Skills
C++ developmentPython scriptingmachine learningtext-to-speech
pqsworld
PROFILE
Pqsworld
During January 2026, this developer focused on improving pronunciation accuracy in the MeloTTS English model within the k2-fsa/sherpa-onnx repository. They addressed a subtle but impactful bug by unifying the token IDs for uppercase and lowercase 'V' and 'v', which previously caused inconsistent text-to-speech output. Using C++ for source debugging and Python for scripting, they implemented and reviewed a targeted patch in the csrc/melotts module. This work enhanced the reliability of downstream multilingual pipelines and improved user experience by ensuring consistent pronunciation, demonstrating a thoughtful approach to tokenization, TTS model integration, and code quality in production environments.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
11
Activity Months1
Your Network
34 peopleShared Repositories
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Alfredo Maria MilanoMember
Antonio ZugaldiaMember
colourmebradMember
ZhaoChaoqunMember
Sonu SinghMember
Fangjun KuangMember
Work History
January 2026
1 Commits
Jan 1, 2026January 2026 monthly summary for k2-fsa/sherpa-onnx. Focus: stability and pronunciation accuracy in MeloTTS within the sherpa-onnx workflow. Delivered a targeted bug fix to unify token IDs for V and v in the MeloTTS English model, improving pronunciation consistency in TTS output. Impact: More natural English MeloTTS output, fewer mispronunciations, and more reliable downstream processing for multilingual pipelines. The fix is implemented in csrc/melotts and committed as 3c60c609a2cc9871b118fe98f833c3b77758eb2b (#3002). Technologies/skills demonstrated: C/C++ source debugging, tokenization/token-id mapping, patch management, code review, and TTS model integration. Business value: Enhanced user-facing quality, reduced QA cycles, and lower support costs due to more consistent pronunciation across uppercase/lowercase tokens.
1 Commits
Jan 1, 2026January 2026 monthly summary for k2-fsa/sherpa-onnx. Focus: stability and pronunciation accuracy in MeloTTS within the sherpa-onnx workflow. Delivered a targeted bug fix to unify token IDs for V and v in the MeloTTS English model, improving pronunciation consistency in TTS output. Impact: More natural English MeloTTS output, fewer mispronunciations, and more reliable downstream processing for multilingual pipelines. The fix is implemented in csrc/melotts and committed as 3c60c609a2cc9871b118fe98f833c3b77758eb2b (#3002). Technologies/skills demonstrated: C/C++ source debugging, tokenization/token-id mapping, patch management, code review, and TTS model integration. Business value: Enhanced user-facing quality, reduced QA cycles, and lower support costs due to more consistent pronunciation across uppercase/lowercase tokens.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ developmentPython scriptingmachine learningtext-to-speech
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