Codesota · Audio · Audio-Language Models · NonSpeech7kTasks/Audio/Audio-Language Models
Audio-Language Models · benchmark dataset · EN

NonSpeech7k.

The NonSpeech7k dataset consists of 7,014 files (6,289 for training, 725 for testing) delivered as 32kHz, mono audio files in .wav format. The files are approximately 4 seconds long, and the dataset has a total duration of 405 minutes. It contains 7 event classes: breath, cough, crying, laugh, screaming, sneeze, and yawn.

Paper Submit a result
§ 01 · Leaderboard

Best published scores.

No results indexed yet — be the first to submit a score.

No benchmark results indexed yet
§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies