experiments/STT
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Normalize sample rate of dev/test sets to avoid feature computation errors

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This commit is contained in:
Reuben Morais 2021-04-06 11:41:12 +02:00
parent c78af058a5
commit 8cdaa18533
1 changed files with 2 additions and 0 deletions
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training/coqui_stt_training/train.py
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@ -438,6 +438,7 @@ def train():
dev_sets = [create_dataset([source],
batch_size=FLAGS.dev_batch_size,
train_phase=False,
augmentations=[NormalizeSampleRate(FLAGS.audio_sample_rate)],
exception_box=exception_box,
process_ahead=len(Config.available_devices) * FLAGS.dev_batch_size * 2,
reverse=FLAGS.reverse_dev,
@ -450,6 +451,7 @@ def train():
metrics_sets = [create_dataset([source],
batch_size=FLAGS.dev_batch_size,
train_phase=False,
augmentations=[NormalizeSampleRate(FLAGS.audio_sample_rate)],
exception_box=exception_box,
process_ahead=len(Config.available_devices) * FLAGS.dev_batch_size * 2,
reverse=FLAGS.reverse_dev,