Label Noise Robustness and Learning Speed in a Self-Learning Vocal User Interface
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چکیده
• ACORNS English corpus • Utterances consist of 1 to 4 keywords and filler words • Vocabulary of 50 keywords Experimental variables • Training set sizes: 100, 200, 500, 1000, 2000, 4000 , 9821 utterances • Label noise : 0, 10, 30, 50, 70 and 90 % of the utterances affected by label noise in the training set • Four types of label noise, (see box 4) Results Label noise robustness and learning speed in a self-learning vocal user interface
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تاریخ انتشار 2014