| .. | | |
| algo.worker.ts | audio-spike-sorting: benchmark framework for audio event detection and classification | |
| execute.ts | Download runs as a .zip for offline development: WAVs, ground truth, training snippets, algorithm sources, and a numbl evaluation harness that reproduces the browser scores | |
| rng.ts | audio-spike-sorting: benchmark framework for audio event detection and classification | |
| runner.ts | Download runs as a .zip for offline development: WAVs, ground truth, training snippets, algorithm sources, and a numbl evaluation harness that reproduces the browser scores | |
| score.ts | audio-spike-sorting: benchmark framework for audio event detection and classification | |
| snippets.ts | audio-spike-sorting: benchmark framework for audio event detection and classification | |
| source.ts | Download runs as a .zip for offline development: WAVs, ground truth, training snippets, algorithm sources, and a numbl evaluation harness that reproduces the browser scores | |
| synthesize.ts | Add a coincidence knob: a fraction of overlapping events land within a small window of their host's onset, the hardest case for detection and one the scorer's greedy matching handles with a documented caveat | |
| training.ts | audio-spike-sorting: benchmark framework for audio event detection and classification | |
| types.ts | Add a coincidence knob: a fraction of overlapping events land within a small window of their host's onset, the hardest case for detection and one the scorer's greedy matching handles with a documented caveat | |