Visualizing punctuation restoration in speech transcripts with Prosograph
Öktem A, Farrús M, Bonafonte A.
Visualizing Punctuation Restoration in Speech Transcripts with Prosograph.
In: Interspeech 2018; 2018 Sep 2-6; Hyderabad, India.
Baixas: ISCA; 2018. p. 1493-4.
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.
Access
Open access in UPF repository and ISCA Speech.
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