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Contextnet-CTC for Speech Recognition

This repository implements speech recognition using Contextnet-CTC.

Contextnet

Contextnet is a speech recognition model using SEnet.

Dataset used in the experiment

Zeroth dataset was used for the experiment. Zeroth data is 51.6 hours transcribed Korean audio for training data and 1.2 hours transcribed Korean audio for testing data.

Experiment

python train.py --conf config/contextnet_ctc.yaml

Evaluation

python evaluate.py --conf config/contextnet_ctc.yaml

Performance

Data Model CER Decoding
Zeroth test data Contextnet-CTC 9.58% beam search

Reference

  1. upskyy / Contextnet
  2. moskomule / senet.pytorch
  3. burchim / EfficientConformer

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