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Korean speech recognition(End to End)

CTC

  • Noise 여부에 따른 BiLSTM / CNN+BiLSTM 트레이닝 추이
Model Test LER(문장)
CNN-LSTM(256) 0.277151
CNN-BiLSTM(256) 0.225424
BiLSTM(256) with noise 0.4920
CNN-BiLSTM(256) with noise 0.3956

http://proceedings.mlr.press/v32/graves14.pdf

Listen Attend and Spell

https://arxiv.org/abs/1508.01211

Result(단어)

Model LER WER
CTC 5.092 33.00
Attention 5.750 30.40

*실제와 추정 값 비교

Original Decode
저축되다 저축되다
늑혼하다 늑콩하다
고물상 고물상
한몫 한목
수출입 수추립
용량 용량
개울물 개울물

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  • Python 100.0%