Search Results for author: Guangsen Wang

Found 9 papers, 3 papers with code

BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems

1 code implementation29 Nov 2022 Guangsen Wang, Shafiq Joty, Junnan Li, Steven Hoi

BotSIM adopts a layered design comprising the infrastructure layer, the adaptor layer and the application layer.

User Simulation

LAVIS: A Library for Language-Vision Intelligence

1 code implementation15 Sep 2022 Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi

We introduce LAVIS, an open-source deep learning library for LAnguage-VISion research and applications.

Benchmarking Image Captioning +8

Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition

no code implementations3 Dec 2020 Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven Hoi

One crucial challenge of real-world multilingual speech recognition is the long-tailed distribution problem, where some resource-rich languages like English have abundant training data, but a long tail of low-resource languages have varying amounts of limited training data.

Language Modelling Multi-Task Learning +2

An investigation of phone-based subword units for end-to-end speech recognition

no code implementations8 Apr 2020 Weiran Wang, Guangsen Wang, Aadyot Bhatnagar, Yingbo Zhou, Caiming Xiong, Richard Socher

For Switchboard, our phone-based BPE system achieves 6. 8\%/14. 4\% word error rate (WER) on the Switchboard/CallHome portion of the test set while joint decoding achieves 6. 3\%/13. 3\% WER.

Decoder Language Modelling +2

A Random Gossip BMUF Process for Neural Language Modeling

no code implementations19 Sep 2019 Yiheng Huang, Jinchuan Tian, Lei Han, Guangsen Wang, Xingcheng Song, Dan Su, Dong Yu

One important challenge of training an NNLM is to leverage between scaling the learning process and handling big data.

Language Modelling speech-recognition +1

Phrase-Level Class based Language Model for Mandarin Smart Speaker Query Recognition

no code implementations2 Sep 2019 Yiheng Huang, Liqiang He, Lei Han, Guangsen Wang, Dan Su

In this work, we propose to train pruned language models for the word classes to replace the slots in the root n-gram.

Language Modelling

Fantastic 4 system for NIST 2015 Language Recognition Evaluation

no code implementations5 Feb 2016 Kong Aik Lee, Ville Hautamäki, Anthony Larcher, Wei Rao, Hanwu Sun, Trung Hieu Nguyen, Guangsen Wang, Aleksandr Sizov, Ivan Kukanov, Amir Poorjam, Trung Ngo Trong, Xiong Xiao, Cheng-Lin Xu, Hai-Hua Xu, Bin Ma, Haizhou Li, Sylvain Meignier

This article describes the systems jointly submitted by Institute for Infocomm (I$^2$R), the Laboratoire d'Informatique de l'Universit\'e du Maine (LIUM), Nanyang Technology University (NTU) and the University of Eastern Finland (UEF) for 2015 NIST Language Recognition Evaluation (LRE).


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