Group delay functions and its applications in speech technology

Sadhana - Academy Proceedings in Engineering Sciences

Volumn 36, Issue 5, 2011, Pages 745-782

  Murthy, Hema A ^a   Yegnanarayana, B ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

^b INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

Author keywords

feature extraction from phase; feature switching; Fourier transform phase; group delay functions; K L divergence; mutual information

Indexed keywords

GROUP DELAY FUNCTIONS; HIGH RESOLUTION; K-L DIVERGENCE; LANGUAGE IDENTIFICATION; MODIFIED GROUP DELAY; MUTUAL INFORMATIONS; PHASE COMPONENT; PHASE FUNCTIONS; SPEAKER RECOGNITION; SPEECH SIGNALS; SPEECH SYSTEMS; SPEECH TECHNOLOGY; SYLLABLE BOUNDARIES; VOCAL-TRACTS;

CELLULAR NEURAL NETWORKS; FEATURE EXTRACTION; FOURIER ANALYSIS; FOURIER TRANSFORMS; SPEECH ANALYSIS; SPEECH COMMUNICATION; SPEECH PROCESSING; SPEECH RECOGNITION;

GROUP DELAY;

EID: 84856259774     PISSN: 02562499     EISSN: 09737677     Source Type: Journal    
DOI: 10.1007/s12046-011-0045-1     Document Type: Article

References (62)

1. Aarabi P, Shi G, Shanechi M M, Rabi S A 2006 Phase based processing speech (Singapore: World Scientific Publishing Co. Pte. Ltd.).
2. Alsteris L D, Paliwal K K 2006 Further intelligibility results from human listening tests using the short-time phase spectrum. Speech Commun. 48: 727-736.
3. Auckentaler R, Carey M, Lloyd-Thomas H 2000 Score normalisation for text-independent speaker verification systems. Digital Signal Process. 10: 42-54.
4. Black A, Taylor P, Caley R 1998 The festival speech synthesis system. http://festvox.org/festival/.
5. Bozkurt B, Couvreur L, Dutoit T 2007 Chirp group delay analysis of speech signals. Speech Commun. 49(3): 159-176.
6. Chevireddy S, Murthy H A, Chandrasekhar C 2008a A syllable-based segment vocoder. Proc. National Conference on Communications, Mumbai, India, 442-445.
7. Chevireddy S, Murthy H A, Chandrasekhar C 2008b Signal processing based segmentation and hmm based automatic clustering for a syllable based segment vocoder at 1. 4kbps. Proc. EUSIPCO, Lausanne, Switzerland. www.eurasip.org/Proceedings/Eusipco2008/papers/1569104947.pdf.
8. Childers D G 1977 The cepstrum: A guide to processing. Proc. IEEE 68: 1428-1443.
9. CUED 2002 HTK Speech Recognition Toolkit. http://htk.eng.cam.ac.uk.
10. Davis S, Mermelstein 1980 Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans. Acoust. Speech, Signal Process 28: 357-366.
11. DDNews 2001 Database for Indian languages. India, Speech and Vision Lab, IIT Madras, Chennai.
12. Dupont S, Luettin J 2000 Audio-visual speech modeling for continuous speech recognition. IEEE Trans. Multimedia 2(3) 141-151.
13. Godfrey J J, Holliman E C, McDaniel J 1992 SWITCHBOARD: Telephone speech corpus for research and development. Proc. IEEE Int. Conf. Acoust. Speech Signal Process, San Francisco, California, USA, 1. 517-520.
14. Greenberg S 1999 Speaking in short hand - A syllable centric perspective for understanding pronounciation variation. Speech Commun. 29: 159-176.
15. Greenberg S, Hollenback J, Ellis D 1996 Insights into spoken language gleaned from phonetic transcription of the switchboard corpus. Proc. Int. Conf. Spoken Language Process, Philadelphia, USA, 24-27.
16. Gurban M, Thiran J-P 2008 Using entropy as a stream reliability estimate for audio-visual speech recognition. Proc. EUSIPCO, Lausanne, Switzerland. http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104998.pdf.
17. Halberstadt A K, Glass J R 1998 Heterogeneous acoustic measurements and multiple classifiers for speech recognition. Proc. Int. Conf. Spoken Language Process. Sydney, Australia, paper 0396.
18. Halberstadt A K 1998 Heterogeneous acoustic measurements and multiple classifiers for speech recognition. Ph. D. thesis, Massachussets Institute of Technology.
19. Hermansky H 1990 Perceptually linear predictive (plp) analysis of speech. J. of the Acoust. Soc. of Am. 87: 1738-1752.
20. Hirsch H, Pearce D 2000 The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions. Proc. ISCA Tutorial and Research Workshop on Automatic Speech Recognition, Paris, France, 181-188.
21. Janakiram R, Kumar C J, Murthy H A 2010 Robust syllable segmentation its application to syllable-centric continuous speech recognition. Proc. National Conference on Communications, Chennai, India, 276-280.
22. Jelinek F 1999 Statistical methods for speech recognition (Cambridge, Massachusetts: The MIT Press).
23. Kamakshi Prasad V, Nagarajan T, Murthy H A 2004 Automatic segmentation of continuous speech using minimum phase group delay functions. Speech Commun. 42: 429-446.
24. Kishore S P, Black A W 2003 Unit size in unit selection speech synthesis. Proc. EUROSPEECH, Geneva, Switzerland, 1317-1320.
25. Kumar C J, Murthy H A 2009 Entropy based measures for incorporating feature stream diversity in the linguistic search space for syllable based automatic annotated recognizer. Proc. National Conference on Communication, Guwahati, India, 286-289.
26. Kumar J C, Janakiraman R, Murthy H A 2010 Kl divergence based feature switching in the linguistic search space for automatic speech recognition. Proc. National Conference on Communication, Chennai, India, 281-285.
27. Lakshmi Sarada G, Nagarajan T, Murthy H A 2004 Multiple frame size and multiple frame rate feature extraction for speech recognition. Proc. SPCOM, Bangalore, India, 592-595.
28. Lakshmi A, Murthy H A 2008 A new approach to continuous speech recognition in indian languages. Proc. National Conference on Communication, Mumbai, India, 277-281.
29. Li K 1994 Automatic language identification using syllabic spectral features. Proc. IEEE Int. Conf. Acoust. Speech Signal Process, Adelaide, South Australia, 1. 297-300.
30. Li X, Stern R 2003 Training of stream weights for the decoding of speech using parallel feature streams. Proc. IEEE Int. Conf. Acoust. Speech Signal Process, 1: 832-835.
31. Lim J 1979 Spectral root homomorphic deconvolution system. IEEE Trans. Acoust. Speech Signal Process 27: 223-233.
32. Murthy H A 1997 The real root cepstrum and its applications to speech processing. Proc. National Conference on Communication, Chennai, India, 180-183.
33. Murthy H A, Rao G V R 2003 The modified group delay function and its application to phoneme recognition. Proc. IEEE Int. Conf. Acoust. Speech Signal Process, Hongkong, 1. 68-71.
34. Murthy H A, Yegnanarayana B 1991 Formant extraction from minimum phase group delay function. Speech Commun. 10: 209-221.
35. Murthy K V M, Yegnanarayana B 1989 Effectiveness of representation of signals through group delay functions. Elsevier Signal Process. 17: 141-150.
36. Nagarajan T, Murthy H A, Hegde R M 2003 Segmentation of speech into syllable-like units. Proc. EUROSPEECH, Geneva, Switzerland, 2893-2896.
37. Nagarajan T, Prasad V K, Murthy H A 2001 The minimum phase signal derived from the magnitude spectrum and its applications to speech segmentation. Proc. SPCOM, Bangalore, India, 95-101.
38. Neti C P, Luettin G, Matthews J, Vergyri J H G 2001 Large-vocabulary audio-visual speech recognition: A summary of the johns hopkins summer 2000 workshop. Proc. IEEE Fourth Workshop on Multimedia Signal Processing, Cannes, France, 619-624.
39. NIST 2003 The NIST year 2003 speaker recognition evaluation plan. http://www.itl.nist.gov/iad/mig/tests/sre/2003/index.html.
40. Noll AM 1967 Cepstrum pitch determination. J. Acoust. Soc. Am. 41(2): 179-195.
41. OGI 1992 The OGI multi-language telephone speech corpus. Proc. Int. Conf. Spoken Lang., Banff, Alberta.
42. Oppenheim A V, Schafer R W 1990 Discrete time signal processing (New Jersey: Prentice Hall, Inc.).
43. Padmanabhan R, Murthy H A 2010 Acoustic feature diversity and speaker verification. Proc. INTERSPEECH, Makuhari, Japan, 2110-2113.
44. Padmanabhan R, Parthasarthi S H K, Murthy H A 2009 Robustness of phase based features for speaker recognition. Proc. INTERSPEECH, Brighton, U. K., 2355-2358.
45. Paliwal K K, Alsteris L D 2005 On the usefulness of stft phase spectrum in human listening tests. Speech Commun. 45 153-170.
46. Papoulis A 1977 Signal analysis (New York: McGraw Hill).
47. Pfitzinger H R, Burger S, Heid S 1996 Syllable detection in read and spontaneous speech. Proc. Int. Conf. Spoken Language Process., Philadelphia, USA, 1261-1264.
48. Pradhan A, Chevireddy S, Veezhinathan K, Murthy H A 2010 A low-bit rate segment vocoder using minimum residual energy criteria. Proc. National Conference on Communication, Chennai, India, 246-250.
49. Prasanna S, Reddy S B, Krishnamoorthy P 2009 Vowel onset point detection using source, spectral peaks and modulation spectrum energies. IEEE Trans. Audio Speech Language Process. 17(4): 556-565.
50. Rabiner L R, Schafer R W 1969 The chirp z-transform algorithm and its application. Bell Syst. Tech. J. 48(5): 1249-1292.
51. Ramasubramanian V, Jayaram A K V S, Sreenivas T V 2003 Language identification using parallel sub-word recognition - an ergodic hmm equivalence. Proc. EUROSPEECH, Geneva, Switzerland, 1357-1360.
52. Rao M N, Thomas S, Nagarajan T, Murthy H A 2005 Text-to-speech synthesis using syllable-like units. Proc. National Conference on Communications, Kharagpur, India, 227-280.
53. Rasipuram R, Hegde R M, Murthy H A 2008 Incorporating acoustic diversity into the linguistic feature space for syllable recognition. Proc. EUSIPCO 2008, Lausanne, Switzerland, www.eurasip.org/Proceedings/Eusipco/papers/1569104561.pdf.
54. Sethi A, Narayanan S 2003 Split-lexicon based hierarchial recognition of speech using syllable and word level acoustic units. Proc. IEEE Int. Conf. Acoust. Speech Signal Process, Hong Kong, 185-187.
55. Shi G, Shanechi M, Aarabi P 2006 On the importance of phase in human speech recognition. IEEE Trans. on Audio Speech Language Processing 14(5): 1867-1874.
56. TIMIT 1990 Acoustic-phonetic continuous speech corpus. National Institute of Standards and Technology Speech Disc 1-1. 1. Fisher W, Doddington G, Goudie Marshall K M 1986 The DARPA speech recognition research database: Specifications and status. Proc. DARPA Workshop on Speech Recognition, California, 93-99.
57. Tribolet J 1979 A new phase unwrapping algorithm. IEEE Trans. Acoust. Speech Signal Process 2: 170-179.
58. Yegnanarayana B 1979 Formant extraction from linear-prediction phase spectra. J. Acoust. Soc. Am. 63: 1638-1640.
59. Yegnanarayana B, Murthy H A 1992 Significance of group delay functions in spectrum estimation. IEEE Trans. Signal Process. 40(9): 2281-2289.
60. Yegnanarayana B, Saikia D K, Krishan TR 1984 Significance of group delay functions in signal reconstruction from spectral magnitude or phase. IEEE Trans. Acoust. Speech Signal Process 3: 610-623.
61. Yip P, Rao K R 1997 Discrete cosine transform: Algorithms, advantages and applicatons (Boston, USA: Academic Press).
62. Zissman M A 1996 Comparison of four approaches to automatic language identification of telephone speech. IEEE Trans. Speech Audio Process 4(1): 31-44.