Autonomous learning of speaker identity and WiFi geofence from noisy sensor data
A fundamental building block towards intelligent environments is the ability to understand who is present in a certain area. A ubiquitous way of detecting this is to exploit unique vocal characteristics as people interact with one another in common spaces. However, manually enrolling users into a bi...
| Autores principales: | , , , , , |
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| Formato: | Journal article |
| Lenguaje: | English |
| Publicado: |
Institute of Electrical and Electronics Engineers
2019
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