Papers by Eric Booth
Evaluating and Improving Child-Directed Automatic Speech Recognition (2020.lrec-1)
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| Challenge: | a recent study shows that adult speech recognition systems are lagging behind child models due to the fact that children's vocal tracts are smaller than adults . |
| Approach: | They evaluate a model that trains on adult data and apply additional tuning to varied amounts of child speech data to improve child-directed speech recognition. |
| Outcome: | The proposed model improves over baseline models using child data and small amounts of child audio data. |