Abstract / truncated to 115 words (read the full abstract)

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 keywords

speech quality assessment speech intelligiblity assessment law enforcement audio speech characterization codec identification


Sharma, Dushyant
Imperial College London
Publication Year
Upload Date
March 10, 2014

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