Effects of telephone transmission on the performance of formant-trajectory-based forensic voice comparison-Female voices

Speech Communication

Volumn 55, Issue 6, 2013, Pages 796-813

  Zhang, Cuiling ^a,b   Morrison, Geoffrey Stewart ^b   Enzinger, Ewald ^b   Ochoa, Felipe ^b  

^a CHINA CRIMINAL POLICE UNIVERSITY   (China)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Forensic; Formant; Landline; Mobile; Telephone; Validity

Indexed keywords

FORENSIC; FORMANT; LANDLINE; MOBILE; VALIDITY;

DISCRETE COSINE TRANSFORMS; MEASUREMENTS; SPEECH RECOGNITION; TELEPHONE; TELEPHONE SETS; TRACKING (POSITION); TRAJECTORIES;

TELEPHONE SYSTEMS;

EID: 84877940333     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2013.01.011     Document Type: Article

References (58)

1. C.G.G. Aitken, and D. Lucy Evaluation of trace evidence in the form of multivariate data Appl. Stat. 53 2004 109 122 10.1046/j.0035-9254.2003.05271.x
2. C.G.G. Aitken, and D. Lucy Corrigendum: evaluation of trace evidence in the form of multivariate data Appl. Stat. 53 2004 665 666 10.1111/j.1467-9876. 2004.02031.x
3. N. Anderson On the calculation of filter coefficients for maximum entropy spectral analysis D.G. Childers, Modern Spectrum Analysis 1978 IEEE Press New York 252 255
4. P.F. Assmann, and T.M. Nearey Perception of front vowels: the role of harmonics in the first formant region J. Acoust. Soc. Amer. 81 1987 520 534 10.1121/1.394918
5. Boersma, P., 1993. Accurate short-term analysis of the fundamental frequency and the harmonics-to-noise ratio of a sampled sound. In: Proceedings of the Institute of Phonetic Sciences 17, Institute of Phonetic Sciences, Amsterdam, pp. 97-110.
6. Boersma, P., Weenink, D., 2011. Praat: doing phonetics by computer (Version 5.2.26). http://praat.org/ latest version last accessed 28 January 2013.
7. Brümmer, N., 2005. FoCal Toolbox: tools for fusion and calibration of automatic speaker detection systems. http://niko.brummer.googlepages.com/ focal/ last accessed 28 January 2013.
8. N. Brümmer, and J. du Preez Application independent evaluation of speaker detection Comput. Speech Lang. 20 2006 230 275 10.1016/j.csl.2005.08.001
9. C. Byrne, and P. Foulkes The 'mobile phone effect' on vowel formants Int. J. Speech Lang. Law 11 2004 83 102
10. Chen, N.F., Shen, W., Campbell, J., Schwartz, R., 2009. Large-scale analysis of formant frequency estimation variability in conversational telephone speech. In: Proceedings of Interspeech 2009, International Speech Communication Association, Brighton, UK, pp. 2203-2206.
11. de Castro, A., Ramos, D., González-Rodríguez, J., 2009. Forensic speaker recognition using traditional features comparing automatic and human-in-the-loop formant tracking. In: Proceedings of Interspeech 2009, International Speech Communication Association, Brighton, UK, pp. 2343-2346.
12. L. Deng, L.J. Lee, H. Attias, and A. Acero Adaptive Kalman filtering and smoothing for tracking vocal tract resonances using a continuous-valued hidden dynamic model IEEE Trans. Audio Speech Lang. 15 2007 13 23 10.1109/TASL.2006. 876724
13. M. Duckworth, K. McDougall, G. de Jong, and L. Shockey Improving the consistency of formant measurement Int. J. Speech Lang. Law 18 2011 35 51 10.1558/ijsll.v18i1.35
14. S. Furui Speaker-independent isolated word recognition using dynamic features of speech spectrum IEEE Trans. Acoust. Speech Signal Process. 34 1986 52 59 10.1109/TASSP.1986.1164788
15. E. Gold, and J.P. French International practices in forensic speaker comparison Int. J. Speech Lang. Law 18 2011 143 152 10.1558/ijsll.v18i2.293
16. González-Rodríguez, J., 2011. Speaker recognition using temporal contours in linguistic units: the case of formant and formant-bandwidth trajectories. In: Proceedings of Interspeech 2011, International Speech Communication Association, Florence, Italy, pp. 133-136
17. J. González-Rodríguez, P. Rose, D. Ramos, D.T. Toledano, and J. Ortega-García Emulating DNA: rigorous quantification of evidential weight in transparent and testable forensic speaker recognition IEEE Trans. Audio Speech Lang. Process. 15 2007 2104 2115 10.1109/TASL.2007.902747
18. B.J. Guillemin, and C. Watson Impact of the GSM mobile phone network on the speech signal: some preliminary findings Int. J. Speech Lang. Law 15 2008 193 218 10.1558/ijsll.v15i2.193
19. J.M. Hillenbrand, L.A. Getty, M.J. Clark, and K. Wheeler Acoustic characteristics of American English vowels J. Acoust. Soc. Amer. 97 1995 3099 3111 10.1121/1.411872
20. M.V. Kondaurova, T.R. Bergeson, and L.C. Dilley Effects of deafness on acoustic characteristics of American English tense/lax vowels in maternal speech to infants J. Acoust. Soc. Amer. 132 2012 1039 1049 10.1121/1.4728169
21. H.J. Künzel Beware of the 'telephone effect': the influence of telephone transmission on the measurement of formant frequencies Forensic Ling. 8 2001 80 99
22. H.J. Künzel Rejoinder to Francis Nolan's "The 'telephone effect' on formants: a response" Forensic Ling. 9 2002 83 86
23. S. Lawrence, F. Nolan, and K. McDougall Acoustic and perceptual effects of telephone transmission on vowel quality Int. J. Speech Lang. Law 15 2008 161 192 10.1558/ijsll.v15i2.161
24. J.D. Markel, and A.H. Gray Linear Prediction of Speech 1976 Springer-Verlag Berlin
25. Morrison, G.S., 2007. multivar-kernel-LR: Matlab implementation of Aitken & Lucy's (2004) forensic likelihood-ratio software using multivariate-kernel-density estimation. http://geoff-morrison.net/#MVKD last accessed 28 January 2013.
26. G.S. Morrison Likelihood-ratio forensic voice comparison using parametric representations of the formant trajectories of diphthongs J. Acoust. Soc. Amer. 125 2009 2387 2397 10.1121/1.3081384
27. Morrison, G.S., 2009b. Robust version of train-llr-fusion.m from Niko Brümmer's FoCal Toolbox (release 2009-07-02). http://geoff-morrison.net/ #TrainFus last accessed 28 January 2013.
28. Morrison, G.S., 2010. SoundLabeller: ergonomically designed software for marking and labelling portions of sound files (Release 2010-11-18). http://geoff-morrison.net/#SndLbl current version last accessed 28 January 2013.
29. G.S. Morrison A comparison of procedures for the calculation of forensic likelihood ratios from acoustic-phonetic data: multivariate kernel density (MVKD) versus Gaussian mixture model-universal background model (GMM-UBM) Speech Comm. 53 2011 242 256 10.1016/j.specom.2010.09.005
30. G.S. Morrison Measuring the validity and reliability of forensic likelihood-ratio systems Sci. Justice 51 2011 91 98 10.1016/j.scijus.2011.03.002
31. G.S. Morrison Tutorial on logistic-regression calibration and fusion: converting a score to a likelihood ratio Aus. J. Forensic Sci 2013 10.1080/00450618.2012.733025
32. G.S. Morrison Vowel inherent spectral change in forensic voice comparison G.S. Morrison, P.F. Assmann, Vowel Inherent Spectral Change 2013 Springer-Verlag Heidelberg, Germany 263 282 10.1007/978-3-642-14209-3-11
33. Morrison, G.S., Nearey, T.M., 2011. FormantMeasurer: software for efficient human-supervised measurement of format trajectories (Release 2011-05-26). http://geoff-morrison.net/#FrmMes last accessed 28 January 2013.
34. G.S. Morrison, P. Rose, and C. Zhang Protocol for the collection of databases of recordings for forensic-voice-comparison research and practice Aus. J. Forensic Sci. 44 2012 155 167 10.1080/00450618.2011.630412
35. K. Mustafa, and I.C. Bruce Robust formant tracking for continuous speech with speaker variability IEEE Trans. Audio Speech Lang. Process. 14 2006 435 444 10.1109/TSA.2005.855840
36. Nearey, T.M., Assmann, P.F., Hillenbrand, J.M., 2002. Evaluation of a strategy for automatic formant tracking, J. Acoust. Soc. Amer. 112, 2323. (A). Presentation slides: http://www.ualberta.ca/~tnearey/ResearchLinks.html last accessed 28 January 2013.
37. F.J. Nolan The 'telephone effect' on formants: a response Forensic Ling. 9 2002 74 82
38. J.P. Olive Acoustic formant tracking in a Newton-Raphson technique J. Acoust. Soc. Amer. 50 1971 661 670 10.1121/1.1912681
39. Pelecanos
40. S. Pigeon, P. Druyts, and P. Verlinde Applying logistic regression to the fusion of the NIST'99 1-speaker submissions Digit. Signal Process. 10 2000 237 248 10.1006/dspr.1999.0358
41. R.E. Remez, K.R. Dubowski, M.L. Davids, E.F. Thomas, N.U. Paddu, Y.S. Grossman, and M. Moskalenko Estimating speech spectra for copy synthesis by linear prediction and by hand J. Acoust. Soc. Amer. 130 2011 2173 2178 10.1121/1.3631667
42. D.A. Reynolds, T.F. Quatieri, and R.B. Dunn Speaker verification using adapted Gaussian mixture models Digit. Signal Process. 10 2000 19 41 10.1006/dspr.1999.0361
43. Rose, P., 2003. The technical comparison of forensic voice samples. In: Freckelton, I., Selby, H. (Eds.), Expert Evidence, Thomson Lawbook, Sydney, Australia (ch. 99).
44. Rudoy, D., 2010. Nonstationary time series modeling with application to speech signal processing. PhD dissertation, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
45. Rudoy, D., Spendley, D.N., Wolfe, P.J., 2007. Conditionally linear Gaussian models for estimating vocal tract resonances, In: Proceedings of Interspeech 2007, International Speech Communication Association, Antwerp, Belgium, pp. 526-529.
46. R.W. Schafer, and L.R. Rabiner System for automatic formant analysis of voiced speech J. Acoust. Soc. Amer. 47 1970 634 648 10.1121/1.1911939
47. Sjölander, K., 2004. Snack Sound Toolkit (Version 2.2.10). http://www.speech.kth.se/snack/ last accessed 28 January 2013.
48. Sjölander, K., Beskow, J., 2000. WaveSurfer-an open source speech tool. In: Yuan, B., Huang, T., Tang, X. (Eds.), Proceedings of the 6th International Conference on Speech and Language Processing, pp. 464-467.
49. Sjölander, K., Beskow, J., 2011. Wavesurfer (Version 1.8.8). http://www.speech.kth.se/wavesurfer/ last accessed 28 January 2013.
50. D. Talkin Speech formant trajectory estimation using dynamic programming with modulated transition costs J. Acoust. Soc. Amer. 82 1987 S55 10.1121/1.2024869
51. R.I. Thomson, T.M. Nearey, and T.M. Derwing A modified statistical pattern recognition approach to measuring the crosslinguistic similarity of Mandarin and English vowels J. Acoust. Soc. Amer. 126 2009 1447 1460 10.1121/1.3177260
52. G. Vallabha, and B. Tuller Systematic errors in formant analysis of steady-state vowels Speech Comm. 38 2002 141 160 10.1016/S0167-6393(01)00049-8
53. D.A. van Leeuwen, and N. Brümmer An introduction to application-independent evaluation of speaker recognition systems C. Müller, Speaker Classification I: Selected Projects 2007 Springer Heidelberg, Germany 330 353 10.1007/978-3-540-74200-5-19
54. S.A.N. Xue, and J.G. Hao Normative standards for vocal tract dimensions by race as measured by acoustic pharyngometry J. Voice 20 2006 391 400 10.1016/j.jvoice.2005.05.001
55. Zhang, C., Morrison, G.S., 2011. Forensic database of audio recordings of 68 female speakers of standard Chinese. http://databases.forensic-voice- comparison.net/ last accessed 28 January 2013.
56. Zhang, C., Morrison, G.S., Thiruvaran, T., 2011. Forensic voice comparison using Chinese /iau/. In: Lee, W.-S., Zee, E. (Eds.), Proceedings of the 17th International Congress of Phonetic Sciences, Hong Kong, China, Organizers of ICPhS XVII at the Department of Chinese, Translation and Linguistics, City University of Hong Kong, Hong Kong, pp. 2280-2283.
57. Zhang, C., Morrison, G.S., Enzinger, E., Ochoa, F., 2012. Human-supervised and fully-automatic formant-trajectory measurement for forensic voice comparison-female voices. Laboratory Report, Forensic Voice Comparison Laboratory, School of Electrical Engineering & Telecommunications, University of New South Wales, Sydney, Australia. http://geoff-morrison.net/#- 2012LabRepFormants last accessed 28 January 2013.
58. C. Zhang, G.S. Morrison, F. Ochoa, and E. Enzinger Reliability of human-supervised formant-trajectory measurement for forensic voice comparison J. Acoust. Soc. Amer. 133 2013 EL54 EL60 10.1121/1.4773223