Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
A binaural room impulse response database for the evaluation of dereverberation algorithms
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
A non-intrusive quality and intelligibility measure of reverberant and dereverberated speech
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on processing reverberant speech: methodologies and applications
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This paper addresses the problem of quantifying the reverberation effect in speech signals. The perception of reverberation is assessed based on a new measure combining the characteristics of reverberation time, room spectral variance, and direct-to-reverberant energy ratio, which are estimated from the associated room impulse response (RIR). The practical aspects behind a robust RIR estimation are underlined, allowing an effective feature extraction for reverberation evaluation. The resulting objective metric achieves a correlation factor of about 90% with the subjective scores of two distinct speech databases, illustrating the system's ability to assess the reverberation effect in a reliable manner.