mounalab / lstm-rnn-vad

Voice Activity Detection LSTM-RNN learning model

LSTM-RNN Voice Activity Detection

REQUIRED PACKAGES

numpy, tensorflow, libROSA, matplotlib

FILES

- dataset_utils.py
Dataset related utilities: One-hot encoding, wav file normalisation, TRS to CSV conversion, JSON to CSV conversion, Youtube wav download for the AudioSet Google corpus, Liblinear library data transformations

- metrics_utils.py
(NOT FINALISED) Metrics' related utilities for the baseline VAD methods

- feature_extractor.py
Feature extraction class to extract MFCC, deltas, double deltas, RSE

- VAD_model.py
LSTM-RNN tensorflow learning model

- _main_.py
The program's main entry point

- /checkpoint
Tensorflow checkpoint directory for saving and restoring learning models

- /parameter
LSTM-RNN learning model hyper-parameters, training parameters, and log/checkpoint directories names

- /notebook
Jupyter notebooks to test initial VAD prototypes

lstm-rnn-vad's Issues

dataset

Hello, can I get your raw dataset() to run the code directly and to see how the data organized?

issues

python3 dataset_utils.py
File "dataset_utils.py", line 187
else:
^
SyntaxError: invalid syntax

    sliced.export(audioset_dir+'/Audio/yvid__'+r['id']+'__'+str(label)+'.wav', format="wav")
    else:
print(yid+': Already exists!')

if name == "main":
#logger = configure_logging()
main()