Dataset Creation Tool Based on CTC-Segmentation

NeMo-Speech

Dataset Creation Tool Based on CTC-Segmentation

This tool provides functionality to align long audio files with the corresponding transcripts and split them into shorter fragments that are suitable for an Automatic Speech Recognition (ASR) model training.

More details could be found in

NeMo/tutorials/tools/CTC_Segmentation_Tutorial.ipynb

(can be executed with

Google’s Colab

).

The tool is based on the

CTC-Segmentation

package and

CTC-Segmentation of Large Corpora for German End-to-end Speech Recognition

[

TOOLS1

]

References

#

[

TOOLS1

]

Ludwig Kürzinger, Dominik Winkelbauer, Lujun Li, Tobias Watzel, and Gerhard Rigoll. Ctc-segmentation of large corpora for german end-to-end speech recognition. In International Conference on Speech and Computer, 267–278. Springer, 2020.