This blog post details the author's process of creating "guitaraoke" videos: karaoke videos with automated chord diagrams. Using the Vamp plugin Chordino to analyze audio and extract chord information, the author then leverages ImageSharp (a C# image processing library) to generate chord diagram images. Finally, FFmpeg combines these generated images with the original music video to produce the final guitaraoke video. The post focuses primarily on the technical challenges and solutions encountered while integrating these different tools, especially handling timestamps and ensuring smooth transitions between chords.
FFmpeg by Example provides practical, copy-pasteable command-line examples for common FFmpeg tasks. The site organizes examples by specific goals, such as converting between formats, manipulating audio and video streams, applying filters, and working with subtitles. It emphasizes concise, easily understood commands and explains the function of each parameter, making it a valuable resource for both beginners learning FFmpeg and experienced users seeking quick solutions to everyday encoding and processing challenges.
Hacker News users generally praised "FFmpeg by Example" for its clear explanations and practical approach. Several commenters pointed out its usefulness for beginners, highlighting the simple, reproducible examples and the focus on solving specific problems rather than exhaustive documentation. Some suggested additional topics, like hardware acceleration and subtitles, while others shared their own FFmpeg struggles and appreciated the resource. One commenter specifically praised the explanation of filters, a notoriously complex aspect of FFmpeg. The overall sentiment was positive, with many finding the resource valuable and readily applicable to their own projects.
Summary of Comments ( 6 )
https://news.ycombinator.com/item?id=42738143
The Hacker News comments generally praise the author's clear writing style and interesting project. Several users discuss their own experiences with similar audio analysis tools, mentioning alternatives like LibChord and Madmom. Some express interest in the underlying algorithms and the potential for real-time performance. One commenter points out the challenge of accurately transcribing complex chords, while another highlights the project's educational value in understanding audio processing. There's a brief discussion on the limitations of relying solely on frequency analysis for chord recognition and the need for rhythmic context. Finally, a few users share their excitement for the upcoming parts of the series.
The Hacker News post titled "Guitar chord karaoke with Vamp, Chordino, and FFmpeg (2022)" has several comments discussing the author's approach to creating a "guitaraoke" system.
One commenter expresses interest in the potential for a real-time version of this project, imagining its use in live performance scenarios or for interactive music learning. They suggest incorporating MIDI output for controlling other instruments or effects.
Another comment focuses on the technical aspects, specifically the use of Chordino for chord recognition. They inquire about the accuracy of the chord detection and how it handles complex chords or variations in strumming patterns. This commenter also highlights the potential of using machine learning models for improved accuracy and suggests exploring other libraries like Madmom.
A further comment pivots the discussion towards automatic music transcription, mentioning an alternative approach using a hidden Markov model (HMM) with a Viterbi decoder. They posit that this method could offer better results compared to the author's chosen approach.
One commenter mentions their own experiences with chord recognition software, expressing frustration with the current state of the technology. They highlight the difficulty in achieving reliable chord detection and express hope for future improvements in the field. They also offer a specific example of a challenging song for these systems to transcribe accurately.
Another user brings up the topic of copyright and how these tools might be used in relation to copyrighted material. They question the legality of creating and distributing "guitaraoke" tracks of popular songs.
Finally, a commenter shifts the focus to the visualization aspect of the project, appreciating the clear and informative diagrams included in the original blog post. They praise the author's ability to effectively communicate the technical details through visual aids.
Several other comments express general appreciation for the project, finding it interesting and potentially useful. They also share personal anecdotes about playing guitar or learning music. While these comments are supportive, they don't delve as deeply into the technical details or potential applications as the ones summarized above.