NRauschmayr commented on a change in pull request #14179: Fix READMEs for examples URL: https://github.com/apache/incubator-mxnet/pull/14179#discussion_r257432986
########## File path: example/gluon/audio/README.md ########## @@ -0,0 +1,100 @@ +# Urban Sounds Classification in MXNet Gluon + +This example provides an end-to-end pipeline for a common datahack competition - Urban Sounds Classification Example. +Below is the link to the competition: +https://datahack.analyticsvidhya.com/contest/practice-problem-urban-sound-classification/ + +After logging in, the data set can be downloaded. +The details of the dataset and the link to download it are given below: + + +## Urban Sounds Dataset: +### Description + The dataset contains 8732 wav files which are audio samples(<= 4s)) of street sounds like engine_idling, car_horn, children_playing, dog_barking and so on. + The task is to classify these audio samples into one of the following 10 labels: + ``` + siren, + street_music, + drilling, + dog_bark, + children_playing, + gun_shot, + engine_idling, + air_conditioner, + jackhammer, + car_horn + ``` + +To be able to run this example: + +1. `pip install -r requirements.txt` + + If you are in the directory where the requirements.txt file lies, + this step installs the required libraries to run the example. + The main dependency that is required is: Librosa. + The version used to test the example is: `0.6.2` + For more details, refer here: +https://librosa.github.io/librosa/install.html + +2. Download the dataset(train.zip, test.zip) required for this example from the location: +https://drive.google.com/drive/folders/0By0bAi7hOBAFUHVXd1JCN3MwTEU + Review comment: I agree with you. We need to figure out what the license of the dataset is. I assume the original files are from here https://datahack.analyticsvidhya.com/contest/practice-problem-urban-sound-classification/#data_dictionary And the Google drive link belongs to someone from analyticsvidhya, so maybe this link is the official source? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
