8 citations · 8 across the 5 of their papers we have counts for
3 papers · 1 filter
Exploring Teacher-Student Learning Approach for Multi-lingual Speech-to-Intent Classification
Bidisha Sharma, Maulik Madhavi, Xuehao Zhou +1
End-to-end speech-to-intent classification has shown its advantage in harvesting information from both text and speech. In this paper, we study a technique to develop such an end-t…
Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification
Yidi Jiang, Bidisha Sharma, Maulik Madhavi +1
End-to-end intent classification using speech has numerous advantages compared to the conventional pipeline approach using automatic speech recognition (ASR), followed by natural l…
Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and language Models for Intent Classification
Bidisha Sharma, Maulik Madhavi, Haizhou Li
Intent classification is a task in spoken language understanding. An intent classification system is usually implemented as a pipeline process, with a speech recognition module fol…