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daqa's Introduction

Audio Question Answering

Code for paper: Temporal Reasoning via Audio Question Answering

Audio files are found here. Trained models are found here.

All code was developed and tested using Python 3.6 and 3.7 on OSX and Ubuntu 18.04.

Diagnostic Audio Question Answering (DAQA)

Instructions to generate the DAQA dataset are found here.

Multiple Auxiliary Controllers for Linear Modulation (MALiMo)

Instructions for training and running trained models are found here.

License

Code is released under the CC-BY 4.0 license. See LICENSE for additional details.

Citation

If you find this code useful in your research, please cite it:

@inproceedings{fayek2019temporal,
  title = {Temporal Reasoning via Audio Question Answering},
  author = {Haytham M. Fayek and Justin Johnson},
  year = {2019},
}

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daqa's Issues

"Dataset Mismatch" -- unable to run data generation

Hello,

I'm running generate_audio.py.
However, the following line of code:
assert len(lst_events) == len(lst_events_wav), 'Dataset mismatch.'
ends up in error, since len(lst_events) = 400 and len(lst_events_wav) = 182

Also, in the script for running generate_audio.py here: https://github.com/facebookresearch/daqa/blob/master/daqa-gen/README.md, the following is used --events $daqa_gen_local/events with daqa_gen_local=../daqa-gen-local.

However there is no such directory called data_gen_local.
data-audio.gz.tar contains two subdirectories rawa and backgrounds . Are "raws" and "events" equivalent?

I would highly appreciate if you could look into this, or if possible -- provide a download link for the dataset you generated for your experiments.

Thanks!

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