1 code implementation • 16 Dec 2022 • Esaú Villatoro-Tello, Srikanth Madikeri, Juan Zuluaga-Gomez, Bidisha Sharma, Seyyed Saeed Sarfjoo, Iuliia Nigmatulina, Petr Motlicek, Alexei V. Ivanov, Aravind Ganapathiraju
In this paper, we perform an exhaustive evaluation of different representations to address the intent classification problem in a Spoken Language Understanding (SLU) setup.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • 28 Sep 2021 • Bidisha Sharma, Maulik Madhavi, Xuehao Zhou, Haizhou Li
In particular, we use synthesized speech generated from an English-Mandarin text corpus for analysis and training of a multi-lingual intent classification model.
1 code implementation • 5 Aug 2021 • Yidi Jiang, Bidisha Sharma, Maulik Madhavi, Haizhou Li
In this regard, we leverage the reliable and widely used bidirectional encoder representations from transformers (BERT) model as a language model and transfer the knowledge to build an acoustic model for intent classification using the speech.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +7
no code implementations • 15 Feb 2021 • Bidisha Sharma, Maulik Madhavi, Haizhou Li
An intent classification system is usually implemented as a pipeline process, with a speech recognition module followed by text processing that classifies the intents.