CONF Parthasarathi_INTERSPEECH_2011/IDIAP LP Residual Features for Robust, Privacy-Sensitive Speaker Diarization Parthasarathi, Sree Hari Krishnan Bourlard, Hervé Gatica-Perez, Daniel EXTERNAL http://publications.idiap.ch/attachments/papers/2011/Parthasarathi_INTERSPEECH_2011.pdf PUBLIC Interspeech 2011 We present a comprehensive study of linear prediction residual for speaker diarization on single and multiple distant microphone conditions in privacy-sensitive settings, a requirement to analyze a wide range of spontaneous conversations. Two representations of the residual are compared, namely real-cepstrum and MFCC, with the latter performing better. Experiments on RT06eval show that residual with subband information from 2.5 kHz to 3.5 kHz and spectral slope yields a performance close to traditional MFCC features. As a way to objectively evaluate privacy in terms of linguistic information, we perform phoneme recognition. Residual features yield low phoneme accuracies compared to traditional MFCC features.