FFmpeg/FFmpeg
Jul 2025 – Sep 2025
3 Months active
Languages Used
C
Technical Skills
Audio ProcessingC ProgrammingFFmpeg Filter DevelopmentMachine Learning IntegrationSpeech RecognitionCode Ownership
Vittorio Palmisano
PROFILE
Vittorio Palmisano
Vittorio Palmisano developed and maintained the Whisper-based audio transcription filter for the FFmpeg/FFmpeg repository, enabling automated speech recognition directly within FFmpeg workflows. He integrated whisper.cpp for end-to-end ASR, supporting model selection, language detection, GPU acceleration, and multi-format outputs such as text, SRT, and JSON. Vittorio addressed output correctness by fixing SRT indexing and int64 formatting, ensuring accurate subtitle rendering and reliable downstream processing. He also improved repository governance by designating code ownership and clarifying maintenance responsibilities. His work demonstrated expertise in C programming, FFmpeg filter development, and audio processing, delivering a robust, maintainable solution for automated transcription pipelines.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
2
Lines of code
593
Activity Months3
Your Network
69 people
Work History
September 2025
2 Commits
Sep 1, 20252025-09 FFmpeg/FFmpeg monthly wrap: Focused on stability and correctness in the Whisper audio filter. Delivered two targeted bug fixes addressing user-facing output quality and accuracy: (1) SRT indexing fixed to increment per segment, ensuring correct caption numbering; (2) int64 formatting fixed in logs and outputs (using PRId64) for timestamps and queue durations in SRT and JSON outputs. These changes were landed as two commits: avfilter/af_whisper: fix int64 printf format and avfilter/af_whisper: fix srt index. Impact: improved accuracy of subtitling, more reliable downstream processing, and reduced formatting-related errors across SRT and JSON outputs. Skills demonstrated: C, printf formatting, FFmpeg AVFilter, attention to output correctness, testing discipline.
2 Commits
Sep 1, 20252025-09 FFmpeg/FFmpeg monthly wrap: Focused on stability and correctness in the Whisper audio filter. Delivered two targeted bug fixes addressing user-facing output quality and accuracy: (1) SRT indexing fixed to increment per segment, ensuring correct caption numbering; (2) int64 formatting fixed in logs and outputs (using PRId64) for timestamps and queue durations in SRT and JSON outputs. These changes were landed as two commits: avfilter/af_whisper: fix int64 printf format and avfilter/af_whisper: fix srt index. Impact: improved accuracy of subtitling, more reliable downstream processing, and reduced formatting-related errors across SRT and JSON outputs. Skills demonstrated: C, printf formatting, FFmpeg AVFilter, attention to output correctness, testing discipline.
September 2025
August 2025
2 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08 for FFmpeg/FFmpeg. Focused on governance and quality improvements, delivering targeted code ownership designation and a bug fix to ensure correct SRT rendering. These changes improve maintainability, accountability, and downstream reliability for the filter components.
August 2025
2 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08 for FFmpeg/FFmpeg. Focused on governance and quality improvements, delivering targeted code ownership designation and a bug fix to ensure correct SRT rendering. These changes improve maintainability, accountability, and downstream reliability for the filter components.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered the FFmpeg Whisper-based Audio Transcription Filter for FFmpeg/FFmpeg, integrating with whisper.cpp for automatic speech recognition (ASR). The filter supports model selection, language detection, GPU acceleration, and outputs in text, SRT, and JSON; includes voice activity detection (VAD) to improve transcription accuracy and efficiency. No major bugs reported this month. Overall impact: enables automated, multilingual transcription and captioning pipelines, reducing manual effort and accelerating media workflows. Technologies demonstrated: C/C++, FFmpeg libavfilter, whisper.cpp integration, GPU acceleration, VAD, multi-format outputs.
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered the FFmpeg Whisper-based Audio Transcription Filter for FFmpeg/FFmpeg, integrating with whisper.cpp for automatic speech recognition (ASR). The filter supports model selection, language detection, GPU acceleration, and outputs in text, SRT, and JSON; includes voice activity detection (VAD) to improve transcription accuracy and efficiency. No major bugs reported this month. Overall impact: enables automated, multilingual transcription and captioning pipelines, reducing manual effort and accelerating media workflows. Technologies demonstrated: C/C++, FFmpeg libavfilter, whisper.cpp integration, GPU acceleration, VAD, multi-format outputs.
July 2025
Activity
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Quality Metrics
Correctness98.0%
Maintainability96.0%
Architecture98.0%
Performance96.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C
Technical Skills
Audio FilteringAudio ProcessingC ProgrammingCode OwnershipFFmpeg DevelopmentFFmpeg Filter DevelopmentMachine Learning IntegrationRepository ManagementSpeech Recognitionffmpegsubtitle formatting
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