Visualizing Punctuation Restoration in Speech Transcripts with Prosograph

Alp Öktem, Mireia Farrús and Antonio Bonafonte

Abstract:

We have developed a neural architecture that tests the effect of lexical, morphosyntactic and prosodic features in restoring punctuation in speech transcriptions. Having outperformed a baseline model in terms of precision and recall, we further extend our performance tests by attaching it in a speech recognition pipeline. The visual and interactive testing environment that we prepared helps us observe how our models generalizes in unseen data and also plan our next steps for improvement.

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Cite as: Öktem, A., Farrús, M., Bonafonte, A. (2018) Visualizing Punctuation Restoration in Speech Transcripts with Prosograph. Proc. Interspeech 2018, 1493-1494.

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BiBTeX Entry:

@inproceedings{Öktem2018,
author={Alp Öktem and Mireia Farrús and Antonio Bonafonte},
title={Visualizing Punctuation Restoration in Speech Transcripts with Prosograph},
year=2018,
booktitle={Proc. Interspeech 2018},
pages={1493--1494} }