Mutual dependence of the octave-band weights in predicting speech intelligibility
Speech Communication
Phoneme-group specific octave-band weights in predicting speech intelligibility
Speech Communication
Phoneme-group specific octave-band weights in predicting speech intelligibility
Speech Communication
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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The revised model for the speech transmission index (STIr, Speech Communication 28 (1999) 109), was validated with an independent set of 68 test conditions. For a subset of 18 conditions, including only additive noise and band-pass limiting, it was verified that the STIr provides a good prediction of the CVC-word score. The additional 50 conditions included non-linear distortion, echoes, automatic gain control, and waveform coding. For conditions with these types of distortion specific parameters of the test signal are of interest. The parameters of the STI model were tuned in an earlier study for an optimal fit between the traditional STI and the CVC score, for a similar set of transmission conditions [J. Acoust. Soc. Amer. 67 (1980) 318]. It was found that the parameter settings also apply to the present revised model. The prediction accuracy for both male and female speech is 4-6% when expressed in CVC-word scores. This corresponds to a signal-to-noise ratio of about 1-2 dB.