Multimodal Speech Recognition: Difference between revisions
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== Impact == | == Impact == | ||
Training audio recognition and visual recognition separately and subsequently linking the two together resulted in lower phone error rates. however, when a new bilinear DNN network was used, which allowed training both audio and visual, the result was to achieve even lower error rates . | |||
== Future Research == | == Future Research == | ||
Revision as of 15:12, 18 September 2023
Weixi Lai
Xueying Liu
Weihao Jiang
Ting Zhang
Introduction
Historical Context
Key Innovations
Impact
Training audio recognition and visual recognition separately and subsequently linking the two together resulted in lower phone error rates. however, when a new bilinear DNN network was used, which allowed training both audio and visual, the result was to achieve even lower error rates .
Future Research
ChatGPT Review
References
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