Syllable-rate-adjusted-modulation (SRAM) predicts clear and conversational speech intelligibility
IntroductionObjectively predicting speech intelligibility is important in both telecommunication and human-machine interaction systems.The classic method relies on signal-to-noise ratios (SNR) to successfully predict speech intelligibility.One exception is clear speech, in which a talker intentionally articulates as if speaking to someone who has h