# Ethnomusicology

- **Event:** [GPT-6 Astra Hackathon NYC](https://cerebralvalley.ai/e/openai-gpt-6-astra-nyc)
- **When:** Thu, Sep 10 at 9:00 AM – 10:00 PM (EDT)
- **Where:** New York, NY
- **Team:** [Marlon Fuentes](https://cerebralvalley.ai/u/MarlonFuentes)
- **GitHub:** https://github.com/MarlonCreative/CommonPulse
- **Demo video:** https://youtu.be/HvMeA1Zdo50
- **Gallery:** https://cerebralvalley.ai/e/openai-gpt-6-astra-nyc/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openai-gpt-6-astra-nyc/hackathon/gallery/67

Common Pulse is a musical field notebook that helps people move from a short recording to an editable, participatory understanding of rhythm. A researcher, educator, or learner can record clapping, voice, or an isolated instrument; review detected sound events in a Time Unit Box System (TUBS) grid; edit the cycle and tempo; see equivalent unpitched Western rhythmic notation; and export MusicXML. They can attach time-linked observations, practice a part by tapping or clapping, and save the notebook locally.

The project treats automated transcription as a draft, not an authority. The recording stays available alongside the quantized grid, and the app makes clear what is measured, what a researcher has named, and what is an interpretation. It does not infer cultural origin or instrument identity from a rhythm.

With Astra connected, Common Pulse turns field notes into a research conversation. An ethnomusicologist can dictate a note, ask Astra to explain an edited pattern or make a bounded correction, and search for cited performance examples—including YouTube when available. Astra is instructed to distinguish documented sources from possible comparisons and to avoid unsupported cultural claims.

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Markdown version of https://cerebralvalley.ai/e/openai-gpt-6-astra-nyc/hackathon/gallery/67. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt
