haloop on LibriSpeech
This progress report shows training runs of haloop's LSTM acoustic and language models.
Created on April 16|Last edited on April 16
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This toolkit is designed to accompany teaching materials for Waves and Symbols tutorial: https://www.overleaf.com/read/dhhnthbcbppq
Hac LSTM acoustic model is trained using CTC to predict a CMUdict phoneme sequence given MFCC inputs on train-clean-360 and train-other-500. train-clean-100 is generally reserved for finetuning experiments. dev-clean is used to perform validation.
Showing first 10 runs
Showing first 10 runs
Run set
622
Hal LSTM language model is trained to predict the next byte (256 outputs) using corpus librispeech-lm-norm.txt from https://www.openslr.org/11/
Run set
2
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