| Dataset Creation Tool Based on CTC-Segmentation |
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| 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. |
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| More details could be found in `NeMo/tutorials/tools/CTC_Segmentation_Tutorial.ipynb <https://colab.research.google.com/github/NVIDIA/NeMo/blob/main/tutorials/tools/CTC_Segmentation_Tutorial.ipynb>`__ (can be executed with `Google's Colab <https://colab.research.google.com/notebooks/intro.ipynb>`_). |
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| The tool is based on the `CTC-Segmentation <https://github.com/lumaku/ctc-segmentation>`__ package and |
| `CTC-Segmentation of Large Corpora for German End-to-end Speech Recognition |
| <https://arxiv.org/abs/2007.09127>`__ :cite:`tools-kurzinger2020ctc` |
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| References |
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| .. bibliography:: tools_all.bib |
| :style: plain |
| :labelprefix: TOOLS |
| :keyprefix: tools- |
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