Directly Comparing the Listening Strategies of Humans and Machines
نویسنده
چکیده
1. MOTIVATION • Human listeners are much better at recognizing speech in noise than automatic speech recognition (ASR) systems – Understanding why could directly improve ASR noise robustness • We utilize the recently introduced “auditory bubbles” technique to compare the cues used by humans and ASRs (Mandel, 2013; Mandel et al., 2014) 1. Measure the intelligibility to listeners of the same speech utterance mixed with many different noise instances 2. Compute the importance of each time-frequency point to that utterance’s intelligibility (the time-frequency importance function, TFIF)
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