CONF Parthasarathi_ICMI-MLMI2009_2009/IDIAP Speaker Change Detection with Privacy-Preserving Audio Cues Parthasarathi, Sree Hari Krishnan Magimai-Doss, Mathew Gatica-Perez, Daniel Bourlard, Hervé EXTERNAL https://publications.idiap.ch/attachments/papers/2009/Parthasarathi_ICMI-MLMI2009_2009.pdf PUBLIC https://publications.idiap.ch/index.php/publications/showcite/Parthasarathi_Idiap-RR-23-2009 Related documents Proceedings of ICMI-MLMI 2009 2009 In this paper we investigate a set of privacy-sensitive audio features for speaker change detection (SCD) in multiparty conversations. These features are based on three different principles: characterizing the excitation source information using linear prediction residual, characterizing subband spectral information shown to contain speaker information, and characterizing the general shape of the spectrum. Experiments show that the performance of the privacy-sensitive features is comparable or better than that of the state-of-the-art full-band spectral-based features, namely, mel frequency cepstral coefficients, which suggests that socially acceptable ways of recording conversations in real-life is feasible. REPORT Parthasarathi_Idiap-RR-23-2009/IDIAP Speaker Change Detection with Privacy-Preserving Audio Cues Parthasarathi, Sree Hari Krishnan Magimai-Doss, Mathew Gatica-Perez, Daniel Bourlard, Hervé EXTERNAL https://publications.idiap.ch/attachments/reports/2009/Parthasarathi_Idiap-RR-23-2009.pdf PUBLIC Idiap-RR-23-2009 2009 Idiap Idiap Research Institute, Martigny, Switzerland August 2009 In this paper we investigate a set of privacy-sensitive audio features for speaker change detection (SCD) in multiparty conversations. These features are based on three different principles: characterizing the excitation source information using linear prediction residual, characterizing subband spectral information shown to contain speaker information, and characterizing the general shape of the spectrum. Experiments show that the performance of the privacy-sensitive features is comparable or better than that of the state-of-the-art full-band spectral-based features, namely, mel frequency cepstral coefficients, which suggests that socially acceptable ways of recording conversations in real-life is feasible.