8 citations · 10 across the 7 of their papers we have counts for
7 papers
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks
Esaú Villatoro-Tello, Srikanth Madikeri, Juan Zuluaga-Gomez +6
In this paper, we perform an exhaustive evaluation of different representations to address the intent classification problem in a Spoken Language Understanding (SLU) setup. We benc…
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…
SLoClas: A Database for Joint Sound Localization and Classification
Xinyuan Qian, Bidisha Sharma, Amine El Abridi +1
In this work, we present the development of a new database, namely Sound Localization and Classification (SLoClas) corpus, for studying and analyzing sound localization and classif…
Sonority Measurement Using System, Source, and Suprasegmental Information
Bidisha Sharma, S. R. Mahadeva Prasanna
Sonorant sounds are characterized by regions with prominent formant structure, high energy and high degree of periodicity. In this work, the vocal-tract system, excitation source a…
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…
NHSS: A Speech and Singing Parallel Database
Bidisha Sharma, Xiaoxue Gao, Karthika Vijayan +2
We present a database of parallel recordings of speech and singing, collected and released by the Human Language Technology (HLT) laboratory at the National University of Singapore…