Sonic Handprints: Person Identification with Hand Clapping Sounds by a Model-Based Method
Antti Jylhä, Cumhur Erkut, Umut Şimşekli, Ali Taylan Cemgil · VBN Forskningsportal (Aalborg Universitet) · 2012
Sound-based person identification has largely focused on speaker recognition. However, also non-speech sounds may convey personal information, as suggested by our previous studies on hand clap recognition. We propose the use of a probabilistic model-based technique for person identification based on their hand clapping sounds. The method is based on a Hidden Markov Model which uses spectral templates in its observation model. The technique has been evaluated in an experiment with 16 subjects, resulting in an overall correct classification rate of 64 %. The algorithm runs in real-time, making it suitable also for interactive systems. Copyright