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update configs

This commit is contained in:
chenfeiyu 2020-02-28 09:26:17 +00:00
parent 51fee9912d
commit 616219ac2c
6 changed files with 8 additions and 8 deletions
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2
examples/clarinet/configs/clarinet_ljspeech.yaml
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@ -1,5 +1,5 @@
data: data:
batch_size: 4 batch_size: 8
train_clip_seconds: 0.5 train_clip_seconds: 0.5
sample_rate: 22050 sample_rate: 22050
hop_length: 256 hop_length: 256

6
examples/deepvoice3/README.md
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@ -23,7 +23,7 @@ The model consists of an encoder, a decoder and a converter (and a speaker embed
```text ```text
├── data.py data_processing ├── data.py data_processing
├── ljspeech.yaml (example) configuration file ├── configs/ (example) configuration files
├── sentences.txt sample sentences ├── sentences.txt sample sentences
├── synthesis.py script to synthesize waveform from text ├── synthesis.py script to synthesize waveform from text
├── train.py script to train a model ├── train.py script to train a model
@ -72,7 +72,7 @@ optional arguments:
example script: example script:
```bash ```bash
python train.py --config=./ljspeech.yaml --data=./LJSpeech-1.1/ --output=experiment --device=0 python train.py --config=configs/ljspeech.yaml --data=./LJSpeech-1.1/ --output=experiment --device=0
``` ```
You can monitor training log via tensorboard, using the script below. You can monitor training log via tensorboard, using the script below.
@ -110,5 +110,5 @@ optional arguments:
example script: example script:
```bash ```bash
python synthesis.py --config=./ljspeech.yaml --device=0 experiment/checkpoints/model_step_005000000 sentences.txt generated python synthesis.py --config=configs/ljspeech.yaml --device=0 experiment/checkpoints/model_step_005000000 sentences.txt generated
``` ```

0
examples/deepvoice3/ljspeech.yaml → examples/deepvoice3/configs/ljspeech.yaml
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2
examples/wavenet/configs/wavenet_mixture_of_gaussians.yaml
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@ -30,7 +30,7 @@ train:
snap_interval: 10000 snap_interval: 10000
eval_interval: 10000 eval_interval: 10000
max_iterations: 200000 max_iterations: 2000000

4
examples/wavenet/configs/wavenet_single_gaussian.yaml
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@ -1,5 +1,5 @@
data: data:
batch_size: 4 batch_size: 32
train_clip_seconds: 0.5 train_clip_seconds: 0.5
sample_rate: 22050 sample_rate: 22050
hop_length: 256 hop_length: 256
@ -30,7 +30,7 @@ train:
snap_interval: 10000 snap_interval: 10000
eval_interval: 10000 eval_interval: 10000
max_iterations: 200000 max_iterations: 2000000

2
examples/wavenet/configs/wavenet_softmax.yaml
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@ -30,7 +30,7 @@ train:
snap_interval: 10000 snap_interval: 10000
eval_interval: 10000 eval_interval: 10000
max_iterations: 200000 max_iterations: 2000000