Training and Preprocessing related

[audio-westlakeu]

Training and Preprocessing related

[Beninmiao]

I also have this problem.

Hi,

I tried preparing DNS Sample data for 50hours and got clean, noise, noisy folders which contains audio data by running noisyspeech_synthesizer_singleprocess.py

As per the code in config/common/fullsubnet_train.toml it requires below text files. Is there any code available to generate these files from audio data?

[train_dataset]
path = "dataset.DNS_INTERSPEECH_train.Dataset"
clean_dataset = "/Datasets/DNS-Challenge-INTERSPEECH/datasets/clean_0.6.txt" noise_dataset = "/Datasets/DNS-Challenge-INTERSPEECH/datasets/noise.txt"
rir_dataset = "~/Datasets/DNS-Challenge-INTERSPEECH/datasets/rir.txt"

Regards
Yugesh

I also have this problem.

[gooran]

Hi,

I tried preparing DNS Sample data for 50hours and got clean, noise, noisy folders which contains audio data by running noisyspeech_synthesizer_singleprocess.py

As per the code in config/common/fullsubnet_train.toml it requires below text files. Is there any code available to generate these files from audio data?

[train_dataset] path = "dataset.DNS_INTERSPEECH_train.Dataset" clean_dataset = "/Datasets/DNS-Challenge-INTERSPEECH/datasets/clean_0.6.txt" noise_dataset = "/Datasets/DNS-Challenge-INTERSPEECH/datasets/noise.txt" rir_dataset = "~/Datasets/DNS-Challenge-INTERSPEECH/datasets/rir.txt"

Regards Yugesh

Hi,
Did you find those text files?

[danielemirabilii]

Hi, maybe I am late but it could always be useful since I had the same problem.

The .txt files are merely a list of files in the dataset folders (clean and noisy), so they should be created according to the content of your dataset. You can create a list of files using a bash script or simply the following commands in Linux/macos terminal. Here is my suggestion, assuming that your clean, noise and rir datasets are in a folder like ~/Datasets/DNS-Challenge-INTERSPEECH/datasets/clean, /noise and /rir:

cd ~/Datasets/DNS-Challenge-INTERSPEECH/datasets/clean
find "$PWD” -type f -name “*.wav” > clean_0.6.txt

and same for the noise

cd ~/Datasets/DNS-Challenge-INTERSPEECH/datasets/noise
find "$PWD” -type f -name “*.wav” > noise.txt

and RIRs

cd ~/Datasets/DNS-Challenge-INTERSPEECH/datasets/rir
find "$PWD” -type f -name “*.wav” > rir.txt

Be careful: some datasets contain hidden files, e.g., ._clean_fileid_0675.wav. Be sure to not include them in the txt files or the training will stop during the first epoch.

[gooran]

Thank you. Very helpful.