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speech-recognition

I tried to create model for speech recognition, based on several guides.

will use the LJSpeech dataset to train model.

evaluation results:

test loss in final version of model โ‰ˆ 102; word error rate โ‰ˆ 0.76

prediction examples:

prediction: end quote afterd the fhr shot te quote braved that o mersyta lap end quote

real: end quote after the third shot he quote revved that motorcycle up end quote

prediction: colls fland wase taov hav worf fof hisol nonally occupided by a preturrtraing as mmolt te an compity

real: coles plan was to have a wharf of his own nominally occupied by a creature trading as maltby and co

prediction: whed beconsisten wuith the periid win the oswalds reling mun nele stret sincs the paprtment wais rentin on marchh thre nineteen sixtythtree

real: would be consistent with the period when the oswalds were living on neely street since the apartment was rented on march three nineteen sixtythree

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