| Title | Robust and Responsive Acoustic Pairing of Devices Using Decorrelating Time-Frequency Modelling |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Zarazaga, Pablo Pérez, B¨ackström, Tom, Sigg, Stephan |
| Conference Name | 2019 27th European Signal Processing Conference (EUSIPCO) |
| Date Published | sep |
| Keywords | access management rules, Acoustic Fingerprinting, Acoustic Fingerprints, acoustic pairing, acoustic signal, Acoustic signal processing, audio fingerprint, audio quality, audio signal processing, authorisation, composability, data privacy, DCT, decorrelating time-frequency modelling, decorrelation, Human Behavior, natural interaction, pubcrawl, Resiliency, Robustness, Time-frequency Analysis, time-frequency representation, unified voice user interface, user interfaces, user privacy, Voice User Interface, voice user interfaces, voice-related information |
| Abstract | Voice user interfaces have increased in popularity, as they enable natural interaction with different applications using one's voice. To improve their usability and audio quality, several devices could interact to provide a unified voice user interface. However, with devices cooperating and sharing voice-related information, user privacy may be at risk. Therefore, access management rules that preserve user privacy are important. State-of-the-art methods for acoustic pairing of devices provide fingerprinting based on the time-frequency representation of the acoustic signal and error-correction. We propose to use such acoustic fingerprinting to authorise devices which are acoustically close. We aim to obtain fingerprints of ambient audio adapted to the requirements of voice user interfaces. Our experiments show that the responsiveness and robustness is improved by combining overlapping windows and decorrelating transforms. |
| DOI | 10.23919/EUSIPCO.2019.8903125 |
| Citation Key | zarazaga_robust_2019 |
Robust and Responsive Acoustic Pairing of Devices Using Decorrelating Time-Frequency Modelling