2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDHLT-10.4
Paper Title ALIGN OR ATTEND? TOWARD MORE EFFICIENT AND ACCURATE SPOKEN WORD DISCOVERY USING SPEECH-TO-IMAGE RETRIEVAL
Authors Liming Wang, University of Illinois, Urbana-Champaign, United States; Xinsheng Wang, Delft University of Technology, Netherlands; Mark Hasegawa-Johnson, University of Illinois, Urbana-Champaign, United States; Odette Scharenborg, Delft University of Technology, Netherlands; Najim Dehak, Johns Hopkins University, Netherlands
SessionHLT-10: Multi-modality in Language
LocationGather.Town
Session Time:Wednesday, 09 June, 16:30 - 17:15
Presentation Time:Wednesday, 09 June, 16:30 - 17:15
Presentation Poster
Topic Speech Processing: [SPE-GASR] General Topics in Speech Recognition
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Multimodal word discovery (MWD) is often treated as a byproduct of the speech-to-image retrieval problem. However, our theoretical analysis shows that some kind of alignment/attention mechanism is crucial for a MWD system to learn meaningful word-level representation. We verify our theory by conducting retrieval and word discovery experiments on MSCOCO and Flickr8k, and empirically demonstrate that both neural MT with self-attention and statistical MT achieve word discovery scores that are superior to those of a state-of-the-art neural retrieval system, outperforming it by 2% and 5% alignment F1 scores respectively.