SoundSight
Environmental sound classification with ESC-50, reproducible ML evaluation, and a Streamlit audio upload demo
What XERJ indexed
Selected work
“Add reproducible audio ML package”. 5 files, 293 lines in src/soundsight.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-26. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
audio-classificationesc-50mfccscikit-learnstreamlit
Example questions
- How does SoundSight implement audio-classification?
- Where does SoundSight handle “Add reproducible audio ML package”?
- What does src/soundsight do in SoundSight?
The prompt
Paste it into your AI agent. It clones ran-nope/SoundSight at the pinned commit and indexes it on your machine.
Search the GitHub repository ran-nope/SoundSight with XERJ (https://hub.xerj.org/corpus/ran-nope--soundsight). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/ran-nope/SoundSight SoundSight && git -C SoundSight checkout 4c65aa87b71a23177e9895608dce1abbdc3756a9 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./SoundSight --url http://127.0.0.1:9200 --prefix soundsight --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
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Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.