1. [Publications](/publications)
2. NeMo Forced Aligner and its application to word alignment for subtitle generation
 
 # NeMo Forced Aligner and its application to word alignment for subtitle generation

  ![Publication image](/sites/default/files/styles/wide/public/default_images/default.jpeg?itok=qUFsuJCP "Publication image")

 We present NeMo Forced Aligner (NFA): an efficient and accurate forced aligner which is part of the NeMo conversational AI open-source toolkit. NFA can produce token, word, and segment-level alignments, and can generate subtitle files for highlighting words or tokens as they are spoken. We present a demo which shows this functionality, and demonstrate that NFA has the best word alignment accuracy and speed of alignment generation compared with other aligners.



 ## Authors



Elena Rastorgueva (NVIDIA)

Vitaly Lavrukhin (NVIDIA)

Boris Ginsburg (NVIDIA)

 

 

 ## Publication Date



Sunday, August 20, 2023

 

 ## Published in



[Interspeech](https://www.isca-archive.org/interspeech_2023/rastorgueva23_interspeech.html)

 

 ## Research Area



[Speech Processing](/research-area/speech-processing)

 

 

 ## External Links



[Paper](https://www.isca-archive.org/interspeech_2023/rastorgueva23_interspeech.pdf)