Papers by Humberto Perez-Espinosa
Towards Dog Bark Decoding: Leveraging Human Speech Processing for Automated Bark Classification (2024.lrec-main)
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| Challenge: | Similar to humans, animals make extensive use of verbal and non-verbal forms of communication, including audio signals. |
| Approach: | They propose to use self-supervised speech representation models pre-trained on human speech to address dog bark classification tasks. |
| Outcome: | The proposed model improves dog recognition, breed identification, gender classification, and context grounding tasks. |