An assessment of automatic speech recognition as speech intelligibility estimation in the context of additive noise

INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP

Volumn 5, Issue , 2006, Pages 2166-2169

  Liu, Wei M ^a   Mason, John S D ^a   Evans, Nicholas W D ^a   Jellyman, Keith A ^a  

^a SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

ASR; Objective quality measures; Speech intelligibility

Indexed keywords

ADDITIVE NOISE; DEEP NEURAL NETWORKS; SPEECH; SPEECH INTELLIGIBILITY;

AUTOMATIC SPEECH RECOGNITION; BACKGROUND NOISE; GOOD CORRELATIONS; HUMAN ASSESSMENT; INTELLIGIBILITY ESTIMATIONS; OBJECTIVE QUALITY MEASURES; SUBJECTIVE LISTENING TEST; SYSTEM DEGRADATION;

SPEECH RECOGNITION;

EID: 44949251933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. S.R. Quackenbush, TP. Barnwell III, and MA. Clement, "Objective Measures of Speech Quality," Prentice Hall, Englewood Cliffs, 1988.
2. S. Wang, A. Sekey, and A. Gersho, "An Objective Measure for Predicting Subjective Quality of Speech Coders," IEEE J. Select. Areas Comm., vol. 10, pp. 819-829, June 1992.
3. W. Yang, M. Benbouchta, and R. Yantorno, "A Modified Bark Spectral Distortion Measure as an Objective Speech Quality Measure," IEEE ICASSP, pp. 541-544, 1998.
4. S. Voran, "Estimation of Perceived Speech Quality using Measuring Normalizing Blocks," IEEE Speech Coding Workshop, pp. 83-84, 1997.
5. J.G. Beerends, A.W. Rix, M.P. Hollier, and A.P. Hekstra, "Perceptual Evaluation of Speech Quality (PESQ) The New ITU Standard for End-to-End Speech Quality Assessment, Part I. Time-Delay Compensation," J. Audio Eng. Soc., Vol. 50, No. 10, 2002.
6. ITU-T Recommendation P.862 "Perceptual evaluation of speech quality (PESQ), an objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs", February 2001.
7. K.D. Kryter, "Methods for the Calculation and Use of the Articulation Index," J. Acoust. Soc. Am., Vol. 34, pp. 1689-1697, 1962.
8. H.J.M. Steeneken, T. Houtgast, "The Modulation Transfer Function in Room Acoustics as a Predictor of Speech Intelligibility," Ac-stica 28, pp. 66-73, 1973.
9. C.M. Chernick, S. Leigh, K.L. Mills, and R. Toense, "Testing the Ability of Speech Reconizers to Measure the Effectiveness of Encoding Algorithms for Digital Speech Transmission," IEEE Int. Military Comm. Conf. (MILCOM), 1999.
10. W. Jiang, H. Schulzrinne, "Speech Recognition Performance as an Effective Perceived Quality Predictor," IEEE Int. Workshop on Quality of Service, pp. 269-275, 2002.
11. W.M. Liu, KA. Jellyman, J.S.D Mason, and N.W.D. Evans, "Assessment of Objective Measures for Speech Intelligibility Estimation," to appear in ICASSP, 2006.
12. N. Kitawaki, H. Nagabuchi, and K. Itoh, "Objective Quality Evaluation for Low-Bit-Rate Speech Coding Systems," IEEE J. on Sel. Areas in Comm, pp. 242-248, 1988.
13. D.H. Klatt, "Prediction of Perceived Phonetic Distance from Critical-band Spectra: A First Step," IEEE ICASSP, pp. 1278-1281, 1982.
14. W.T. Hicks, B.Y. Smolenski, and R.E. Yantorno, "Testing the Intelligibility of Corrupted Speech with an Automated Speech Recognition System," 7th World Multiconference on Systemics, Cybernetics and Informatics, 2003.
15. H.G. Hirsch, D. Pearce, "The Aurora Experimental Framework for the Performance Evaluations of Speech Recognition Systems under Noisy Conditions," ISCA ITRW ASR 2000, Sept 2000.
16. ITU recommendation P.56, "Objective Measurement of Active Speech Level", Mar. 1993.