Azure-Samples/cognitive-services-speech-sdk
Jan 2025 – Jan 2025
1 Month active
Languages Used
BashPowerShellPython
Technical Skills
Azure ServicesLLM IntegrationPython DevelopmentScriptingSpeech Recognition
v-bingyang
PROFILE
V-bingyang
Bingyang Yang developed a sample application for the Azure-Samples/cognitive-services-speech-sdk repository that demonstrates real-time speech-to-text transcription with LLM-based refinement. By integrating Azure Cognitive Services Speech SDK and Azure OpenAI Service, Bingyang enabled automatic improvement of transcribed text for grammar and readability as speech is processed. The solution was implemented using Python and scripting languages such as Bash and PowerShell, with a focus on seamless end-to-end flow. Comprehensive setup instructions, prerequisites, and example outputs were provided to facilitate developer adoption. The work reflects a deep understanding of Azure services, LLM integration, and speech recognition within a practical engineering context.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
328
Activity Months1
Your Network
4183 people
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025Month 2025-01: Delivered a new sample app that demonstrates real-time Azure Speech-to-Text transcription with LLM-based refinement by integrating Azure Cognitive Services Speech SDK with Azure OpenAI Service. The sample provides end-to-end flow, including setup instructions, prerequisites, and example output, to accelerate developer adoption and demonstrate real-time text refinement capabilities. Commit reference included for traceability: d5f0d936fd2065e00499ba8725500738a3b1cce2 ("Add Speech + LLM Sample. (#2704)").
1 Commits • 1 Features
Jan 1, 2025Month 2025-01: Delivered a new sample app that demonstrates real-time Azure Speech-to-Text transcription with LLM-based refinement by integrating Azure Cognitive Services Speech SDK with Azure OpenAI Service. The sample provides end-to-end flow, including setup instructions, prerequisites, and example output, to accelerate developer adoption and demonstrate real-time text refinement capabilities. Commit reference included for traceability: d5f0d936fd2065e00499ba8725500738a3b1cce2 ("Add Speech + LLM Sample. (#2704)").
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
BashPowerShellPython
Technical Skills
Azure ServicesLLM IntegrationPython DevelopmentScriptingSpeech Recognition
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