qlemaire22 / speech-music-detection Goto Github PK

hi,dear
glad to see the great project,
could you please supply the pretrained model to test some audio?
I want to have a try.
thx

Hi, I successfully installed everything and added my own datasets, but when issuing python prepare_dataset/prepare_audio.py my_own_dataset I always get:

Traceback (most recent call last): File "prepare_dataset/prepare_audio.py", line 224, in <module> resample_dataset(args.data_location, args.dataset) File "prepare_dataset/prepare_audio.py", line 18, in resample_dataset cfg = utils.load_json('../datasets.json') File "/home/developer/Documents/speech-music-detection/smd/utils.py", line 99, in load_json with open(filename) as f: FileNotFoundError: [Errno 2] No such file or directory: '../datasets.json'

Of course dataset.json is at the project's root, and contains:

{ "my_own_dataset": { "data_folder": "my_own_dataset/audio", "filelists_folder": "my_own_dataset/filelists" } }

What am I missing?
Thanks

I want to thank you for making this significant contribution to the field. The project was extremely well done, and I have learned a lot about how to structure a large python project from reading your code.

I have attempted to train a model using the 'all_quality' config in experiments.json using a subset of the datasets (musan, gtzan, muspeak). The training was aborted after 28/50 epochs due to a tf/keras bug, and I was saving the model after each epoch. The last model saved had these results:

1214/1214 [==============================] - 557s 457ms/step - loss: 0.1321 - binary_accuracy: 0.9514 - categorical_accuracy: 0.8334 - val_loss: 0.1099 - val_binary_accuracy: 0.9621 - val_categorical_accuracy: 0.9421

I thought I might be able to use that model to make a prediction on a 30 minute wav file (mostly music with 4 segments of speech of about 3 minutes each). The output of predict.py labeled the entire 30 minutes as speech, so I think I'm doing something wrong. I wasn't sure what to put for the --mean_path and --std_path. I just see mean.npy and var.npy files in the filelists_* directories of the datasets. Are these supposed to be combined in some way and the result passed to predict.py?

I would be grateful for any advice you can give about training and running predictions.

Merci

Hi
Could you supply the trained model, I want to make a test, and it will only be used for a test.
my email: [email protected]

Hi, I would like to add my own dataset, which consists in several mixed speech/music files.
In the README you mention the need for creating two different folders, but I cannot fully understand the "repartition of the data between each set for each type of label" part...
Could you please give us an example dir tree to use as reference?
Thanks