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Fix training issues #31

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merged 2 commits into from
Apr 6, 2024
Merged

Fix training issues #31

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87055d2
Updates the training cargo command
chanderlud Apr 5, 2024
dc7b236
Updates the training cargo command
chanderlud Apr 5, 2024
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2 changes: 1 addition & 1 deletion Cargo.toml
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Expand Up @@ -45,7 +45,7 @@ dasp_interpolate = { version = "0.11.0", features = ["sinc"], optional = true }
dasp_ring_buffer = { version = "0.11.0", optional = true }
easyfft = "0.3.3"
glob = { version = "0.3.0", optional = true }
hdf5 = { version = "0.8.1", optional = true }
hdf5 = { git = "https://github.com/aldanor/hdf5-rust.git", optional = true }
hound = { version = "3.4.0", optional = true }
libc = { version = "0.2.119", optional = true }
# This needs to be in sync with the version from hdf5; they don't re-export it.
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2 changes: 1 addition & 1 deletion train/README.md
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Expand Up @@ -29,7 +29,7 @@ ffmpeg -i $file -f s16le -ac 1 -ar 48000 output.wav
Once you have your speech and noise files, you need to use `nnnoiseless` to
generate training features:
```
cargo run --features=train --bin=train --count=<COUNT> --signal-glob=</PATH/TO/SPEECH/*.wav> --noise-glob=<PATH/TO/NOISE/*.wav> -o training.h5
cargo run --features=train --bin=train --release -- --count=<COUNT> --signal-glob=</PATH/TO/SPEECH/*.wav> --noise-glob=<PATH/TO/NOISE/*.wav> -o training.h5
```
where `<COUNT>` is the number of frames of training data that you want to
generate. (I don't know what the optimal number is, but 10 million seems to be
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