Speech Assessment and Characterization for Law Enforcement Applications (2012)
Abstract / truncated to 115 words
Speech signals acquired, transmitted or stored in non-ideal conditions are often degraded by one or more effects including, for example, additive noise. These degradations alter the signal properties in a manner that deteriorates the intelligibility or quality of the speech signal. In the law enforcement context such degradations are commonplace due to the limitations in the audio collection methodology, which is often required to be covert. In severe degradation conditions, the acquired signal may become unintelligible, losing its value in an investigation and in less severe conditions, a loss in signal quality may be encountered, which can lead to higher transcription time and cost. This thesis proposes a non-intrusive speech assessment framework from which algorithms ... toggle 5 keywordsspeech quality assessment – speech intelligiblity assessment – law enforcement audio – speech characterization – codec identification
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