5 papers · 1 filter
RNN based Incremental Online Spoken Language Understanding
Prashanth Gurunath Shivakumar, Naveen Kumar, Panayiotis Georgiou +1
Spoken Language Understanding (SLU) typically comprises of an automatic speech recognition (ASR) followed by a natural language understanding (NLU) module. The two modules process…
Behavior Gated Language Models
Prashanth Gurunath Shivakumar, Shao-Yen Tseng, Panayiotis Georgiou +1
Most current language modeling techniques only exploit co-occurrence, semantic and syntactic information from the sequence of words. However, a range of information such as the sta…
Spoken Language Intent Detection using Confusion2Vec
Prashanth Gurunath Shivakumar, Mu Yang, Panayiotis Georgiou
Decoding speaker's intent is a crucial part of spoken language understanding (SLU). The presence of noise or errors in the text transcriptions, in real life scenarios make the task…
Confusion2Vec: Towards Enriching Vector Space Word Representations with Representational Ambiguities
Prashanth Gurunath Shivakumar, Panayiotis Georgiou
Word vector representations are a crucial part of Natural Language Processing (NLP) and Human Computer Interaction. In this paper, we propose a novel word vector representation, Co…
Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context Modeling
Prashanth Gurunath Shivakumar, Haoqi Li, Kevin Knight +1
Automatic speech recognition (ASR) systems often make unrecoverable errors due to subsystem pruning (acoustic, language and pronunciation models); for example pruning words due to…