
Worked on enhancing transcription accuracy in the cjpais/handy repository by implementing a custom initial_prompt feature for Whisper transcription models. This involved joining user-supplied words into a comma-separated prompt, which was then passed to Whisper to guide vocabulary selection during transcription. The approach maintained backward compatibility by preserving the existing post-correction flow for non-Whisper engines such as Parakeet, Moonshine, SenseVoice, and GigaAM, ensuring stability and cross-engine consistency. All development was carried out using Rust, focusing on back end development practices. No bugs were fixed during this period, with efforts concentrated on feature delivery and maintaining reliability.
March 2026 (2026-03) focused on delivering improved transcription accuracy for Whisper by adding a custom initial_prompt feature, while preserving existing post-correction behavior for non-Whisper engines. All work centered on the cjpais/handy repository. No major bugs fixed this month; stability and cross-engine compatibility were maintained.
March 2026 (2026-03) focused on delivering improved transcription accuracy for Whisper by adding a custom initial_prompt feature, while preserving existing post-correction behavior for non-Whisper engines. All work centered on the cjpais/handy repository. No major bugs fixed this month; stability and cross-engine compatibility were maintained.

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