Environment Classification Sample Clauses

Environment Classification. The properties of the environment, namely the reverberation, form another part of the acquisition history embedded in an audio track. In the literature on audio forensics, the use of such footprints is handled only scarcely. In the context model for microphone forensics established in [59], the influenced of the room acoustic is modeled as an additional transfer function in the signal processing chain yielding a recorded microphone signal. In [63], the use of feature extraction and classification classification techniques to classify several features, including the reproduction room, is investigated. Due to the relatively low classification rates, the authors conclude that the influence of the recording room is often negligible compared to other influencing parameters such as the microphone used. However, this evaluation uses a black-box approach to evaluate different features and classification algorithms which does not take the particular characteristics of room acoustics into account. Thus, sensible approaches to detect environment footprints account for the characteristics of reverberation. In the analysis of gunshot recordings, e.g. [81, 82], reverberation is acknowledged to contain infor- mation about the environment and about the precise location of a shot. Nonetheless, it is usually regarded as clutter that hinders the retrieval of other information from these recordings. Estimation of the Reverberation Time One recent paper [83] considers the use of room acoustic parameters to authenticate digital record- ings. In particular, the reverberation time is used as a parameter to characterize the recording room. While this approach appears to be unique within audio forensics research, measurement and estimation of the reverberation time are extensively investigated in general-purpose acoustics and acoustical signal processing. For the envisaged application, blind estimation methods are of partic- ular interest, because they do not require dedicated measurements or particular test signals (within certain limits). Two related approaches for the blind estimation of the reverberation time, which form the conceptual basis for [83], are [84, 85]. In these approaches, the reverberation of the recording room is modeled as a random process with exponential decay, which is uniquely determined by a time constant and an amplitude value. Thus, only the diffuse part of the reverberation tail is considered, while discrete reflections are omitted. The time and amplitud...
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Related to Environment Classification

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