| At least one paper about the Hough Transform here[1] should be of interest to you. I'm afraid your prompts are the exact example of "holding it wrong". Replacing Wikipedia or Google is not what LLMs do. Think of them as a thinking engine, not as a "semantic search" of the Internet. However, I've got great news for you: the app you're looking for exists, and it's a YC company. They've recently launched on here[0]. When I use the description from your post as the prompt (not your actual prompt that you quoted underneath), I get these clarifying questions: > Applying the Hough transform to audio spectra for pitch recognition is an interesting extension of its typical use in image processing for line and circle detection. > Can you clarify which specific types of harmonic structures you're hoping the Hough transform will detect in audio spectra? Are you interested in recognizing harmonic series in general, or are you targeting specific instrument voices or vocal data? Additionally, are there any constraints on the types of audio signals you'd want this method applied to—such as clean synthetic tones versus real-world noisy recordings? > Just to ensure we're on the same page, are you specifically looking for papers that describe the application and methodological details of using the Hough transform in this context, or would you also be interested in papers that discuss the performance and comparative effectiveness of this approach against other pitch detection algorithms? Now I've got no clue what your answers to these would be, but here are the search results[1]. Presumably that is a better tool for your purposes. [0]: https://news.ycombinator.com/item?id=41069909
[1]: https://www.undermind.ai/query_app/display_one_search/aac9fd... |