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thanks alot for the great work .can i use the mult-scale features aggregation conformer for acoustic scene classification ?
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A comparison was made of the MFCC computation between librosa and essentia, using data from [DCASE challenge 2016](http://www.cs.tut.fi/sgn/arg/dcase2016/task-acoustic-scene-classification), using the…
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# Task Name
Audio Spatial Distance Prediction
## Task Objective
Audio Spatial Distance Prediction is a task that aims to predict spatial distance from the source of the sound based on the giv…
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i done features extraction through preparedata.py ,created features_all.h5 file .
i run the command 'python task1.py' but the results i got is just the log files which contains arrays values .
how c…
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@rvencu @rom1504
We need more data in the next step. The data we need in the ranking of priority is:
1. Audio data with natural text description(s).
2. Audio data with other labels, and "made up"…
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Hi i am trying to run your codes i have successfully extracted the feature by using 3class Dcase 2020 datasets through script "extr_feat_2020_nodelta_scaled.py" after i run the command "python train_f…
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Hi, am doing speech recognition for micro controller. Am new to this and trying to modify the code which is written for Acoustic Scene Classification where they have used 30sec wav audio dataset.
…
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Some ideas floated in our meeting today:
- Reading on speech models
- Reading on hip-hop, lyrics, and language
- Reading on attention mechanisms in deep learning
- Workshopping figures or code i…
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I'm super content seeing this written down in a way like this. Here are some discussion points:
### referencing virtual entities
I think this is a really interesting idea, but I'm not convinced …