3 papers
cs.CL2022
A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding
Yifan Peng, Siddhant Arora, Yosuke Higuchi +6
Collecting sufficient labeled data for spoken language understanding (SLU) is expensive and time-consuming. Recent studies achieved promising results by using pre-trained models in…
cs.CL2021
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet
Siddhant Arora, Siddharth Dalmia, Pavel Denisov +10
As Automatic Speech Processing (ASR) systems are getting better, there is an increasing interest of using the ASR output to do downstream Natural Language Processing (NLP) tasks. H…
cs.CL2021
N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR Hypotheses
Karthik Ganesan, Pakhi Bamdev, Jaivarsan B +2
Spoken Language Understanding (SLU) systems parse speech into semantic structures like dialog acts and slots. This involves the use of an Automatic Speech Recognizer (ASR) to trans…