7 papers
End-to-End Neural Systems for Automatic Children Speech Recognition: An Empirical Study
Prashanth Gurunath Shivakumar, Shrikanth Narayanan
A key desiderata for inclusive and accessible speech recognition technology is ensuring its robust performance to children's speech. Notably, this includes the rapidly advancing ne…
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…
Transfer Learning from Adult to Children for Speech Recognition: Evaluation, Analysis and Recommendations
Prashanth Gurunath Shivakumar, Panayiotis Georgiou
Children speech recognition is challenging mainly due to the inherent high variability in children's physical and articulatory characteristics and expressions. This variability man…