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Found 4 papers, 1 papers with code
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems
Dialog systems, such as voice assistants, are expected to engage with users in complex, evolving conversations.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition
We demonstrate that our CLC family of approaches can improve the performance of ASR models on OD3, a new public large-scale semi-synthetic meta-dataset of audio task-oriented dialogues, by up to 19. 2%.
Knowledge Distillation and Data Selection for Semi-Supervised Learning in CTC Acoustic Models
Semi-supervised learning (SSL) is an active area of research which aims to utilize unlabelled data in order to improve the accuracy of speech recognition systems.
The IIT-B Query-by-Example System for MediaEval 2015
This paper describes the system developed at I. I. T.
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