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Repository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction

Home Page: https://dl.acm.org/doi/10.1145/3340531.3412879

License: Creative Commons Attribution Share Alike 4.0 International

Python 100.00%
earnings-calls dataset audio-text mfcc-features python35

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maec-a-multimodal-aligned-earnings-conference-call-dataset-for-financial-risk-prediction's Issues

Original MP3

Dear Authors,

I was wondering if the original, raw mp3s are available along with the transcripts. I saw that the mp3s are processed into numeric matrices, say MFCC. I am hoping to get speaker-segmented mp3s ant not the numeric matrics, is that possible with this repo?

Thank you.

Best Regards,
Joshua

High Level Features Download

The download link for the high-level features no longer exists, is there an updated version of the high-level features

Audio data

The high-level (mfcc feature) audio features files can not reach now.
And how can I get the initial audio file, not the feature file?

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