Chan, Wai-YipFalk, TiagoEl-Hennawey, Mohamed2020-02-052020-02-052007US20070233469A1 * 2006-03-30 2007-10-04 Industrial Technology Research Institute Method for speech quality degradation estimation and method for degradation measures calculation and apparatuses thereof US20130080172A1 * 2011-09-22 2013-03-28 General Motors Llc Objective evaluation of synthesized speech attributes US20140188470A1 * 2012-12-31 2014-07-03 Jenny Chang Flexible architecture for acoustic signal processing engine Family To Family Citations US9830905B2 2013-06-26 2017-11-28 Qualcomm Incorporated Systems and methods for feature extraction US9870784B2 2013-09-06 2018-01-16 Nuance Communications, Inc. Method for voicemail quality detection US9685173B2 * 2013-09-06 2017-06-20 Nuance Communications, Inc. Method for non-intrusive acoustic parameter estimation US9917952B2 2016-03-31 2018-03-13 Dolby Laboratories Licensing Corporation Evaluation of perceptual delay impact on conversation in teleconferencing systemhttps://t.ly/y5Jn5MSA Google ScholarA non-intrusive speech quality estimation technique is based on statistical or probability models such as Gaussian Mixture Models (“GMMs”). Perceptual features are extracted from the received speech signal and assessed by an artificial reference model formed using statistical models. The models characterize the statistical behavior of speech features. Consistency measures between the input speech features and the models are calculated to form indicators of speech quality. The consistency values are mapped to a speech quality score using a mapping optimized using machine learning algorithms, such as Multivariate Adaptive Regression Splines (“MARS”). The technique provides competitive or better quality estimates relative to known techniques while having lower computational complexity.enUniversity of Single-sided speech qualityOther