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 [BibTeX] [Marc21]
Speaker Change Detection with Privacy-Preserving Audio Cues
Type of publication: Idiap-RR
Citation: Parthasarathi_Idiap-RR-23-2009
Number: Idiap-RR-23-2009
Year: 2009
Month: 8
Institution: Idiap
Address: Idiap Research Institute, Martigny, Switzerland
Abstract: 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.
Projects Idiap
Authors Parthasarathi, Sree Hari Krishnan
Magimai.-Doss, Mathew
Gatica-Perez, Daniel
Bourlard, Hervé
Crossref by Parthasarathi_ICMI-MLMI2009_2009
Added by: [ADM]
Total mark: 0
  • Parthasarathi_Idiap-RR-23-2009.pdf (MD5: 6fa1c146ef11b644bea425803197d65d)