Today we release “PodcastMix”, a dataset for separating music and speech in podcasts:
Interspeech 2022 paper: “PodcastMix: A dataset for separating music and speech in podcasts”
Category Archives: Datasets
FSD50K: an Open Dataset of Human-Labeled Sound Events
We started collecting data for FSD50K in 2017 and we have just released its final version! One of its coolest features is that you can easily navigate the dataset via an intuitive web interface – where you can even report mistakes!
Check our paper!
AI Grant and EUSIPCO paper accepted!
Our EUSIPCO 2017 paper got accepted! This paper was done in collaboration with Olga Slizovskaia, Rong Gong, Emilia Gómez and Xavier Serra. And it is entitled: “Timbre Analysis of Music Audio Signals with Convolutional Neural Networks”.
Paper blogpost with further details!
And I have been awarded with one of the AI Grants given by Nat Friedman for creating a dataset of sounds from Freesound and using it in my research. The AI grants are an initiative of Nat Friedman, Cofounder/CEO of Xamarin, to support open-source AI projects. The project I proposed is part of an initiative of the MTG to promote the use of Freesound.org for research. The goal is to create a large dataset of sounds, following the same principles as Imagenet – in order to make audio AI more accessible to everyone. The project will contribute in developing an infrastructure to organize a crowdsource tool to convert Freesound into a research dataset. The following video presents the aforementioned project:
Tree visualisation of AudioSet Ontology
After digging into AudioSet Ontology, we realized that a tree-like visualization might be very useful for further understanding the proposed ontology. To this end, we adapted some code from here: https://bl.ocks.org/mbostock/4339083
Project done in collaboration with Xavier Favory, Eduardo Fonseca and Frederic Font.
