Developed and delivered a keyterm biasing feature for the ElevenLabs Speech-to-Text service within the pipecat-ai/pipecat repository, focusing on improving transcription accuracy for domain-specific vocabularies. The work involved refactoring backend service and settings classes to expose new controls for keyterm biasing, enabling the system to prioritize specified terms or phrases during both file-based and real-time audio transcription. Implemented comprehensive unit tests to validate the feature’s effectiveness across different input types. Leveraged Python for API and backend development, ensuring the solution reduced downstream post-processing and enhanced the utility and searchability of transcribed content in real-time workloads.