Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts

no code implementations • 25 Sep 2021 • Raluca Alexandra Fetic, Mikkel Jordahn, Lucas Chaves Lima, Rasmus Arpe Fogh Egebæk, Martin Carsten Nielsen, Benjamin Biering, Lars Kai Hansen

We then observe how the cosine similarities decrease as transcription noise increases and conclude that even when automatic speech recognition transcripts are erroneous, it is still possible to obtain high-quality topic embeddings from the transcriptions.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1