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Sohhom, Our lab has been actively involved in developing intelligibility and quality indices for several years. The current version of HASPI (intelligibility) passes
the envelope time-frequency modulation through a modulation filterbank. HASQI (speech quality) combines envelope time-frequency modulation analysis with temporal fine structure and long-term spectral changes. The MATLAB code is free to anyone interested: send
me a request at James.Kates@xxxxxxxxxxxx if you would like a copy. Current versions:
J.M. Kates and K.H. Arehart (2020), “The hearing-aid speech perception index (HASPI) version 2,” to appear in Speech Comm. DOI: 10.1016/j.specom.2020.05.001.
J.M. Kates and K.H. Arehart (2016), “The hearing aid audio quality index (HAAQI)”, IEEE Trans. Audio Speech and Lang. Proc. Vol. 24(2), pp 354-365. DOI: 10.1109/TASLP.2015.2507858.
J.M. Kates and K.H. Arehart (2014), “The hearing aid speech quality index (HASQI) version 2”, J. Audio Eng. Soc., Vol. 62(3), pp 99-117. DOI: 10.17743/jaes.2014.0006
Older versions:
J.M. Kates and K.H. Arehart (2014), “The hearing aid speech perception index (HASPI)”, Speech Comm., Vol. 65, pp 75-93. DOI: 10.1016/j.specom.2014.06.002
J.M. Kates and K.H. Arehart (2010), “The hearing aid speech quality index (HASQI)”, J. Audio Eng. Soc., Vol. 58(5), pp 363-381.
Jim Kates <<>><<>><<>><<>><<>><<>><<>> James M. Kates Scholar in Residence / Prof. Hearing Engineering Research Practice Dept. Speech, Language, and Hearing Sciences 409 UCB, University of Colorado, Boulder, CO 80309 Office (mobile): 720-226-1266 Home: 303-652-1523 <<>><<>><<>><<>><<>><<>><<>> From: AUDITORY - Research in Auditory Perception <AUDITORY@xxxxxxxxxxxxxxx>
On Behalf Of Sohhom Bandyopadhyay Dear list, I am looking for objective quality or intelligibility models (general audio or speech) that take into account the temporal envelope of the signal(s). Both intrusive and non-intrusive models are welcome. Two examples of such models are: * Falk, T. H., Zheng, C., & Chan, W. Y. (2010). A non-intrusive quality and intelligibility measure of reverberant and dereverberated speech. IEEE Transactions on Audio, Speech, and Language Processing, 18(7), 1766-1774. (implementation:
https://github.com/MuSAELab/SRMRToolbox) * van de Par, S., Disch, S., Niedermeier, A., Burdiel Pérez, E., & Edler, B. (2019, October). Temporal Envelope-Based Psychoacoustic Modelling for Evaluating Non-Waveform Preserving Audio Codecs. In Audio Engineering Society Convention
147. Audio Engineering Society. (implementation not available) Would really prefer models that have publicly available implementations, or it is available upon request from the authors. Please let me know if you know of any such work. Thanks and regards Sohhom -- Sohhom Bandyopadhyay PhD Scholar | Center for Cognitive Science Indian Institute of Technology Gandhinagar |