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@INPROCEEDINGS{Parthasarathi_INTERSPEECH_2011,
                      author = {Parthasarathi, Sree Hari Krishnan and Bourlard, Herv{\'{e}} and Gatica-Perez, Daniel},
                    projects = {Idiap, SNSF-MULTI},
                       title = {LP Residual Features for Robust, Privacy-Sensitive Speaker Diarization},
                   booktitle = {Interspeech},
                        year = {2011},
                    abstract = {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.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2011/Parthasarathi_INTERSPEECH_2011.pdf}
}