
Developed a sample application for the Azure-Samples/cognitive-services-speech-sdk repository that demonstrates real-time speech-to-text transcription with large language model refinement. The project integrated Azure Cognitive Services Speech SDK with Azure OpenAI Service, enabling recognized speech to be transcribed and then improved for grammar and readability using an LLM. Python served as the primary development language, with Bash and PowerShell scripts supporting setup and automation. The sample included comprehensive setup instructions, prerequisites, and example outputs to streamline adoption by other developers. This work focused on showcasing end-to-end speech recognition and text refinement workflows using Azure Services and LLM integration techniques.
Month 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)").
Month 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)").

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