Initial Developments of an Objective Method for the Prediction of Basic Audio Quality for Surround Audio Recordings

This paper describes the development of the objective method for the prediction of the Basic Audio Quality (BAQ) of bandlimited or down-mixed surround audio recordings. A number of physical parameters, including interaural cross-correlation coefficient and spectral descriptors, were extracted from the recordings and used in a linear regression model to predict BAQ scores obtained from listening tests. The results showed a high correlation between the predicted scores and those obtained from the listening test, with the average error of prediction being smaller than 10%. Although the method was originally developed for 5-channel surround recordings, after some modifications it can be upgraded to any number of audio channels.

[1]  RECOMMENDATION ITU-R BS.1387-1 - Method for objective measurements of perceived audio quality , 2002 .

[2]  Francis Rumsey,et al.  Comparison of Basic Audio Quality and Timbral and Spatial Fidelity Changes Caused by Limitation of Bandwidth and by Down-Mix Algorithms in 5.1 Surround Audio Systems , 2005 .

[3]  Jan Servaes,et al.  European Broadcasting Union , 2004 .

[4]  Tomasz Letowski,et al.  Sound Quality Assessment: Concepts and Criteria , 1989 .

[5]  Eunmi Oh,et al.  Audio adaptation according to usage environment and perceptual quality metrics , 2005, IEEE Transactions on Multimedia.

[6]  Andrzej Dobrucki,et al.  Proposed Changes to the Methods of Objective, Perceptual Based Evaluation of Compressed Speech and Audio Signals , 2004 .

[7]  Francis Rumsey,et al.  Comparison of quality degradation effects caused by limitation of bandwidth and by down-mix algorithms in consumer multichannel audio delivery systems , 2003 .

[8]  Francis Rumsey,et al.  On the relative importance of spatial and timbral fidelities in judgments of degraded multichannel audio quality. , 2005, The Journal of the Acoustical Society of America.

[9]  Bill Gardner,et al.  HRTF Measurements of a KEMAR Dummy-Head Microphone , 1994 .

[10]  George Tzanetakis,et al.  Musical genre classification of audio signals , 2002, IEEE Trans. Speech Audio Process..

[11]  J. Brian Gray,et al.  Introduction to Linear Regression Analysis , 2002, Technometrics.

[12]  Matti Karjalainen,et al.  A new auditory model for the evaluation of sound quality of audio systems , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[13]  Francis Rumsey,et al.  Development and Initial Validation of a Multichannel Audio Quality Expert System , 2005 .

[14]  Francis Rumsey,et al.  Effects of Down-Mix Algorithms on Quality of Surround Sound , 2003 .

[15]  Methods for the subjective assessment of small impairments in audio systems , 2015 .

[16]  Charles D. Creusere,et al.  Evaluating low bitrate scalable audio quality using advanced version of PEAQ and energy equalization approach , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[17]  Scott G. Norcross,et al.  Objective Measures of Listener Envelopment in Multichannel Surround Systems , 2003 .

[18]  Thomas Sporer Objective Audio Signal Evaluation-Applied Psychoacoustics for Modeling the Perceived Quality of Digital Audio , 1997 .

[19]  John G. Beerends,et al.  A Perceptual Audio Quality Measure Based on a Psychoacoustic Sound Representation , 1992 .

[20]  Karlheinz Brandenburg Evaluation of Quality for Audio Encoding at Low Bit Rates , 1987 .

[21]  B. Paillard,et al.  PERCEVAL: Perceptual Evaluation of the Quality of Audio Signals , 1992 .

[22]  Andy P. Field,et al.  Discovering Statistics Using SPSS , 2000 .

[23]  Masayuki Morimoto The Role of Rear Loudspeakers in Spatial Impression , 1997 .

[24]  Andrzej Dobrucki,et al.  Adjustment of the Parameters Proposed for the Objective, Perceptual Based Evaluation Methods of Compressed Speech and Audio Signals , 2004 .

[25]  Thomas Sporer,et al.  PEAQ - The ITU Standard for Objective Measurement of Perceived Audio Quality , 2000 .

[26]  Richard F. Gunst,et al.  Applied Regression Analysis , 1999, Technometrics.

[27]  Thilo Thiede,et al.  A New Perceptual Quality Measure for Bit-Rate Reduced Audio , 1996 .

[28]  B. Atal,et al.  Optimizing digital speech coders by exploiting masking properties of the human ear , 1978 .

[29]  George Tzanetakis,et al.  Multifeature audio segmentation for browsing and annotation , 1999, Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452).

[30]  Jayme Garcia Arnal Barbedo,et al.  Strategies to Increase the Applicability of Methods for Objective Assessment of Audio Quality , 2004 .

[31]  Jean-Bernard Rault,et al.  A Perceptual Model Applied to Audio Bit-Rate Reduction , 1995 .

[32]  Jon A. Beracoechea-Álava,et al.  Coding Strategies and Quality Measure for Multichannel Audio , 2004 .