l3das/l3das22_challenge 🔢🖼️📝 → ❓

▶️ 228 runs 📅 Nov 2021 ⚙️ Cog 0.1.3+shimmed 🔗 GitHub 📄 Paper
3d-audio ambisonics audio-processing audio-visualization machine-learning sound-event-localization speech-enhancement

About

Baseline models demo of the IEEE L3DAS22 Challenge

Example Output

Output

[object Object]

Performance Metrics

22.05s Total Time
All Input Parameters 
{
  "task": "1",
  "input": "https://replicate.delivery/mgxm/77da32c9-0e51-49d9-b0e8-8e8666685a98/task1_test_input.wav",
  "output_type": "plot"
}
Input Parameters
task Type: integerDefault: 1
Task to evaluate
input Type: string
Input 1st order Ambisonics sound path
output_type Type: stringDefault: plot
Can be 'data' or 'plot'
Output Schema

Type: array • Items Type: object

Version Details
Version ID
f2cbe4ff0b04988312f4cf9b639bb60861556d37bb0326f177d94ea8502324e2
Version Created
November 18, 2021
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