Abstract
Various methods have been shown to compute the Speech Transmission Index (STI) using speech as a probe stimulus (Goldsworthy & Greenberg, J. Acoust. Soc. Am., 116, 3679‐3689, 2004). Frequency‐domain methods, while accurate at predicting the long‐term STI, cannot predict short‐term changes due to fluctuating backgrounds. Time‐domain methods also work well on long speech segments and have the added potential to be used for short‐time analysis. This study investigates the accuracy of two time‐domain STI methods: envelope regression (ER) and normalized correlation (NC), as functions of window length, in various acoustically degraded environments with multiple talkers and speaking styles. Short‐time STIs are compared with a short‐time Theoretical STI, derived from octave‐band signal‐to‐noise ratios and reverberation times. For windows as short as 0.3 s, the ER and NC Methods track the short‐time Theoretical STI and both the Theoretical and ER Methods converge to the long‐term result for windows greater than 4 ...
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