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Project description
asrp
ASR text preprocessing utility
install
pip install asrp
usage - preprocess
input: dictionary, with key sentence
output: preprocessed result, inplace handling.
import asrp
batch_data = {
'sentence': "I'm fine, thanks."
}
asrp.fun_en(batch_data)
dynamic loading
import asrp
batch_data = {
'sentence': "I'm fine, thanks."
}
preprocessor = getattr(asrp, 'fun_en')
preprocessor(batch_data)
usage - evaluation
import asrp
targets = ['HuggingFace is great!', 'Love Transformers!', 'Let\'s wav2vec!']
preds = ['HuggingFace is awesome!', 'Transformers is powerful.', 'Let\'s finetune wav2vec!']
print("chunk size WER: {:2f}".format(100 * asrp.chunked_wer(targets, preds, chunk_size=None)))
print("chunk size CER: {:2f}".format(100 * asrp.chunked_cer(targets, preds, chunk_size=None)))
usage - hubertcode
import asrp
hc = asrp.HubertCode("facebook/hubert-large-ll60k", './km_feat_100_layer_20', 20)
hc('voice file path')
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