Description
We present a speaker-aware robotic system which recognizes users by voice in realistic, noisy conditions, highlighting the potential of speaker identification to enrich industrial and social HRI. We approach this as a CNN-based audio classification task, with the particular aim of producing fast, reliable, and explainable predictions. Our method is evaluated on a challenging 6-speaker dataset collected "in the wild" and showcased in a manufacturing scenario, where a collaborative robot personalizes its responses and prevents non-authorized users from executing commands.| Period | 9 Aug 2021 |
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| Event title | 30th IEEE International Conference on Robot and Human Interactive Communication |
| Event type | Conference |
| Conference number | 30 |
| Location | Vancouver, Canada, British ColumbiaShow on map |
| Degree of Recognition | International |
Documents & Links
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Project: Research
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Publications
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Why talk to people when you can talk to robots? Far-field speaker identification in the wild
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review