Updated 3 weeks ago
Updated 3 months ago
Path: audio_data
A multi-class classifier for urban audio sounds
Updated 1 year ago
Path: .
The FSDnoisy18k dataset is an open dataset containing 42.5 hours of audio across 20 sound event classes, including a small amount of manually-labeled data and a larger quantity of real-world noisy data.
Updated 1 year ago
Path: .
The LEGOv2 database is a parameterized and annotated version of the CMU Let’s Go database from 2006 and 2007. This spoken dialogue corpus contains interactions captured from the CMU Let’s Go (LG) System by Carnegie Mellon University in 2006 and 2007. It is based on raw log-files from the LG system. The corpus has been parameterized and annotated by the Dialogue Systems Group at Ulm University, Germany.