Investigating Privacy-Sensitive Features for Speech Detection in Multiparty Conversations

INTERSPEECH, pp. 2243-2246, 2009.

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Abstract:

We investigate four different privacy-sensitive features, namely energy, zero crossing rate, spectral flatness, and kurtosis, for speech detection in multiparty conversations. We liken this sce- nario to a meeting room and define our datasets and annotations accordingly. The temporal context of these features is modeled. With no temporal ...More

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