Adaptive chirp-based time–frequency analysis of speech signals

In this paper, a new method for time–frequency analysis of speech signals is proposed. Given that the fundamental frequency of voiced speech often undergoes rapid fluctuation and in these cases the classical spectrogram suffers from blurring and artifacts, an adaptive analysis basis composed of quad...

Full description

Saved in:

Bibliographic Details
Published in	Speech communication Vol. 48; no. 5; pp. 474 - 492
Main Authors	Képesi, Marián, Weruaga, Luis
Format	Journal Article
Language	English
Published	Amsterdam Elsevier B.V 01.05.2006 Elsevier
Subjects	Applied sciences Detection, estimation, filtering, equalization, prediction Exact sciences and technology Fan-Chirp transform Harmonically related chirps Information, signal and communications theory Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Speech processing Telecommunications and information theory Time–frequency analysis Harmonically related chirps Fan-Chirp transform Time–frequency analysis Harmonic Time-frequency analysis Target tracking Filtering Chirp Acoustic signal Artefact Algorithm Blurred image Vocal signal Spectrum analysis Signal analysis Fundamental frequency
Online Access	Get full text

Cover

Loading…

Abstract	In this paper, a new method for time–frequency analysis of speech signals is proposed. Given that the fundamental frequency of voiced speech often undergoes rapid fluctuation and in these cases the classical spectrogram suffers from blurring and artifacts, an adaptive analysis basis composed of quadratic chirps is what we consider. The analysis basis of the proposed Short-Time Fan-Chirp Transform (FChT) is defined univocally by the analysis window length and by the frequency variation rate, this parameter being predicted from the last computed spectral segments. The prediction algorithm is based on time tracking the joint trajectory of the harmonic contours, this process also provides a voiced/unvoiced detection parameter. Comparative results between the proposed Short-Time FChT and popular time–frequency techniques reveal an improvement in spectral and time–frequency representation. Since the signal can be synthesized from its FChT, the proposed method is suitable for filtering purposes.
AbstractList	In this paper, a new method for time-frequency analysis of speech signals is proposed. Given that the fundamental frequency of voiced speech often undergoes rapid fluctuation and in these cases the classical spectrogram suffers from blurring and artifacts, an adaptive analysis basis composed of quadratic chirps is what we consider. The analysis basis of the proposed Short-Time Fan-Chirp Transform (FChT) is defined univocally by the analysis window length and by the frequency variation rate, this parameter being predicted from the last computed spectral segments. The prediction algorithm is based on time tracking the joint trajectory of the harmonic contours, this process also provides a voiced/unvoiced detection parameter. Comparative results between the proposed Short-Time FChT and popular time-frequency techniques reveal an improvement in spectral and time-frequency representation. Since the signal can be synthesized from its FChT, the proposed method is suitable for filtering purposes. In this paper, a new method for time-frequency analysis of speech signals is proposed. Given that the fundamental frequency of voiced speech often undergoes rapid fluctuation & in these cases the classical spectrogram suffers from blurring & artifacts, an adaptive analysis basis composed of quadratic chirps is what we consider. The analysis basis of the proposed Short-Time Fan-Chirp Transform (FChT) is defined univocally by the analysis window length & by the frequency variation rate, this parameter being predicted from the last computed spectral segments. The prediction algorithm is based on time tracking the joint trajectory of the harmonic contours, this process also provides a voiced/unvoiced detection parameter. Comparative results between the proposed Short-Time FChT & popular time-frequency techniques reveal an improvement in spectral & time-frequency representation. Since the signal can be synthesized from its FChT, the proposed method is suitable for filtering purposes. 7 Figures, 2 Appendixes, 40 References. [Copyright 2005 Elsevier B.V.]
Author	Weruaga, Luis Képesi, Marián
Author_xml	– sequence: 1 givenname: Marián surname: Képesi fullname: Képesi, Marián organization: Signal Processing and Speech Communication Laboratory, Technical University of Graz, A-8010 Graz, Inffeldgasse 12, Austria – sequence: 2 givenname: Luis surname: Weruaga fullname: Weruaga, Luis email: weruaga@ieee.org organization: Commission for Scientific Visualisation, Austrian Academy of Sciences, Donau-City Strasse 1, A-1220 Vienna, Austria
BackLink	http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17683447$$DView record in Pascal Francis
BookMark	eNqNkc9KAzEQxoNUsK2-gYe96G3X_N1kL2IR_0HBi55Dmp3YlHZ3TbaF3nwH39AnMaUFbypzGBh-M_PxfSM0aNoGEDonuCCYlFeLInZg21VBMRYFVgXG_AgNiZI0l0TRARomTOYlq9gJGsW4wIlQig7RzaQ2Xe83kNm5D10-MxHqrPcr-Pr4dAHe19DYbWYas9xGH7PWZekX2HkW_VsaxlN07FKDs0Mfo9f7u5fbx3z6_PB0O5nmlleiz2eksnUtKSYghaOOico45QxRwF1JKyoFScUF4xITgZ1gs7osZ4IpRSwHNkaX-7tdaJOo2OuVjxaWS9NAu45aiZJxxqt_gIxTLuSfIK1IxUuOE8j3oA1tjAGc7oJfmbDVBOtdAHqh9wHoXQAaK53sTWsXh_smWrN0wTTWx59dWSrG-U7H9Z6DZN_GQ9DR-uQ61D6A7XXd-t8ffQNal57v
CODEN	SCOMDH
CitedBy_id	crossref_primary_10_1109_TCI_2018_2813167 crossref_primary_10_1109_TUFFC_2014_006424 crossref_primary_10_7780_kjrs_2014_30_2_3 crossref_primary_10_1109_TASL_2013_2266772 crossref_primary_10_1016_j_procs_2015_12_048 crossref_primary_10_3390_app14114436 crossref_primary_10_1007_s11760_020_01711_6 crossref_primary_10_1016_j_sigpro_2007_01_006 crossref_primary_10_1155_2013_857410 crossref_primary_10_1016_j_amc_2011_07_047 crossref_primary_10_1016_j_sigpro_2018_01_019 crossref_primary_10_1016_j_ymssp_2018_07_039 crossref_primary_10_1109_TASLP_2015_2458580 crossref_primary_10_1109_TASLP_2016_2514492 crossref_primary_10_1109_TSP_2007_897880 crossref_primary_10_1109_ACCESS_2021_3087595 crossref_primary_10_1016_j_csl_2023_101598 crossref_primary_10_1155_2009_304579 crossref_primary_10_1007_s11432_011_4285_9 crossref_primary_10_1049_iet_rsn_2009_0311
Cites_doi	10.1109/ICASSP.1999.758347 10.1109/SCFT.1999.781514 10.1109/TFSA.1998.721547 10.1016/S0925-2312(00)00260-5 10.1109/ICASSP.1993.319500 10.1109/MWSCAS.1993.343407 10.21437/Eurospeech.2003-14 10.1109/89.326614 10.1029/92JA01140 10.1109/TIT.1956.1056805 10.1006/csla.1996.0001 10.1109/TFSA.1998.721452 10.1109/TASSP.1982.1163952 10.1109/89.326616 10.1109/78.482123 10.1121/1.400476
ContentType	Journal Article
Copyright	2005 Elsevier B.V. 2006 INIST-CNRS
Copyright_xml	– notice: 2005 Elsevier B.V. – notice: 2006 INIST-CNRS
DBID	IQODW AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D 8BM 7T9
DOI	10.1016/j.specom.2005.08.004
DatabaseName	Pascal-Francis CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ComDisDome Linguistics and Language Behavior Abstracts (LLBA)
DatabaseTitle	CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional ComDisDome Linguistics and Language Behavior Abstracts (LLBA)
DatabaseTitleList	Technology Research Database Linguistics and Language Behavior Abstracts (LLBA) ComDisDome
DeliveryMethod	fulltext_linktorsrc
Discipline	Languages & Literatures Social Welfare & Social Work Psychology Applied Sciences
EISSN	1872-7182
EndPage	492
ExternalDocumentID	10_1016_j_specom_2005_08_004 17683447 S0167639305002013
GroupedDBID	--K --M -~X .DC .~1 07C 0R~ 123 1B1 1~. 1~5 4.4 457 4G. 53G 5VS 7-5 71M 8P~ 9JN 9JO AACTN AADFP AAEDT AAEDW AAFJI AAGJA AAGJQ AAGUQ AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABFNM ABIVO ABJNI ABMAC ABMMH ABOYX ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ACXNI ACZNC ADBBV ADEZE ADIYS ADJOM ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AFYLN AGHFR AGUBO AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV AKYCK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOMHK AOUOD ASPBG AVARZ AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F0J F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q G8K GBLVA GBOLZ HLZ HVGLF HZ~ IHE J1W JJJVA KOM LG9 M41 MO0 N9A O-L O9- OAUVE OKEIE OZT P-8 P-9 P2P PC. PQQKQ PRBVW Q38 R2- RIG ROL RPZ SBC SDF SDG SDP SES SEW SPC SPCBC SSB SSO SST SSV SSY SSZ T5K WUQ XFK XJE ~G- 08R ABPIF ABPTK IQODW AAXKI AAYXX AFJKZ AKRWK CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D 8BM 7T9
ID	FETCH-LOGICAL-c495t-b19cdd7201e75f2f359af8fa18e4f6292751515453470150f53bd66b53881c4e3
IEDL.DBID	AIKHN
ISSN	0167-6393
IngestDate	Sat Aug 17 03:40:15 EDT 2024 Fri Aug 16 22:31:43 EDT 2024 Sat Aug 17 01:13:45 EDT 2024 Thu Sep 26 15:18:07 EDT 2024 Sun Oct 22 16:06:28 EDT 2023 Fri Feb 23 02:28:32 EST 2024
IsPeerReviewed	true
IsScholarly	true
Issue	5
Keywords	Harmonically related chirps Fan-Chirp transform Time–frequency analysis Harmonic Time-frequency analysis Target tracking Filtering Chirp Acoustic signal Artefact Algorithm Blurred image Vocal signal Spectrum analysis Signal analysis Fundamental frequency
Language	English
License	CC BY 4.0
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c495t-b19cdd7201e75f2f359af8fa18e4f6292751515453470150f53bd66b53881c4e3
Notes	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2
PQID	29194640
PQPubID	23500
PageCount	19
ParticipantIDs	proquest_miscellaneous_85634349 proquest_miscellaneous_85342457 proquest_miscellaneous_29194640 crossref_primary_10_1016_j_specom_2005_08_004 pascalfrancis_primary_17683447 elsevier_sciencedirect_doi_10_1016_j_specom_2005_08_004
PublicationCentury	2000
PublicationDate	2006-05-01
PublicationDateYYYYMMDD	2006-05-01
PublicationDate_xml	– month: 05 year: 2006 text: 2006-05-01 day: 01
PublicationDecade	2000
PublicationPlace	Amsterdam
PublicationPlace_xml	– name: Amsterdam
PublicationTitle	Speech communication
PublicationYear	2006
Publisher	Elsevier B.V Elsevier
Publisher_xml	– name: Elsevier B.V – name: Elsevier
References	Brown (bib6) 1991; 89 Casey, M.A., 2000. Separation of mixed audio sources by independent subspace analysis. Proc. ICMC., Berlin, D. Cohen (bib10) 1995 Cook (bib11) 1993 Haykin, Mann (bib15) 1995; 43 Siebert (bib30) 1956; IT-2 Vetterli, Kovacevic (bib34) 1995 Flandrin (bib13) 1998 Ramalho, M.A., Mammone, R.J., 1993. New speech enhancement techniques using the pitch mode modulation model. Proc. 36th Midwest SCAS, Detroit, MI, pp. 16–18. Weruaga, L., Képesi, M., 2004. Speech analysis with the fast chirp transform. Proc. EUSIPCO, Vienna, AT, pp. 1011–1014. Mercado, Myers, Gluck (bib19) 2000; 32–33 Auger, F., Flandrin, P., Gonçalves, P., Lemoine, O., 1995–1996. Time–frequency toolbox, Tutorial. Rice University-USA, CNRS-F. Berger, Coifman, Goldberg (bib5) 1994; 42 Chowning (bib8) 1973; 21 Arons (bib1) 1992; 12 Ozaktas, Kutay, Zalevsky (bib23) 2001 Vapnik (bib33) 1995 Bendat, Piersol (bib4) 2000 O’Neill, J.C., Flandrin, P., 1998. Chirp hunting. Proc. IEEE Int. Symp. Time–Freq/Scale Anal., Pittsburgh, PA, pp. 425–428. Hinich (bib17) 1982; 30 Gabor (bib14) 1946; 93 Papoulis (bib24) 1977 Pinter (bib25) 1996; 10 Weruaga, L., Képesi, M., 2003. Speech analysis with the short-time chirp transform. Proc. EUROSPEECH, Geneva, CH, pp. 53–56. Munson Jr., D.C., Arikan, O., 1999. Interpolation and the chirp transform: DSP meets optics. Proc. IEEE ICASSP, Phoenix, AZ, pp. 2099–2102. Weruaga, L., Képesi, M., submitted for publication. The continuous fan-chirp transform. IEEE Trans. Signal Process. Qian, S., Chen, D., Yin, Q., 1998. Adaptive Chirplet based signal approximation. Proc. IEEE ICASSP, Seattle, WA, pp. 1781–1784. Quatieri (bib27) 2002 Pitton, Atlas, Loughlin (bib26) 1994; 2 Yan, F.Z., Guoan-Bi, Q.C., 2000. Adaptive harmonic fractional Fourier transform. Proc. IEEE ISCAS, Geneva, CH, pp. 28–31. (bib18) 1997 Davis (bib12) 2002 Warren (bib35) 1986; 23 Hermansky (bib16) 1994; 2 Sluijter, R.J., Janssen, A.E.J.M., 1999. A time warper for speech signals. Proc. IEEE W. Speech Coding, Porvoo, FIN, pp. 150–152. Baraniuk, R.G., Jones, D.L., 1993. Warped wavelet bases: unitary equivalence and signal processing. Proc. IEEE ICASSP, Minneapolis, MN, pp. 320–323. Mihovilovic, Bracewell (bib20) 1992; 97 Wokurek, W., Hlawatsch, F., Kubin, G., 1987. Wigner distribution analysis of speech signals. Proc. ICASSP, Florence, I, pp. 294–298. Claasen, Mecklenbräuker (bib9) 1980; 35 Twaroch, T., Hlawatsch, F., 1998. Modulation and warping operators in joint signal analysis. Proc. IEEE Symp. on Time–Freq/Scale Anal., Pittsburgh, PA, pp. 9–12. Hermansky (10.1016/j.specom.2005.08.004_bib16) 1994; 2 10.1016/j.specom.2005.08.004_bib32 10.1016/j.specom.2005.08.004_bib31 Cohen (10.1016/j.specom.2005.08.004_bib10) 1995 Mihovilovic (10.1016/j.specom.2005.08.004_bib20) 1992; 97 Ozaktas (10.1016/j.specom.2005.08.004_bib23) 2001 Warren (10.1016/j.specom.2005.08.004_bib35) 1986; 23 Chowning (10.1016/j.specom.2005.08.004_bib8) 1973; 21 Berger (10.1016/j.specom.2005.08.004_bib5) 1994; 42 Quatieri (10.1016/j.specom.2005.08.004_bib27) 2002 10.1016/j.specom.2005.08.004_bib3 10.1016/j.specom.2005.08.004_bib2 Vetterli (10.1016/j.specom.2005.08.004_bib34) 1995 10.1016/j.specom.2005.08.004_bib7 Pinter (10.1016/j.specom.2005.08.004_bib25) 1996; 10 Siebert (10.1016/j.specom.2005.08.004_bib30) 1956; IT-2 Brown (10.1016/j.specom.2005.08.004_bib6) 1991; 89 10.1016/j.specom.2005.08.004_bib22 Flandrin (10.1016/j.specom.2005.08.004_bib13) 1998 10.1016/j.specom.2005.08.004_bib29 10.1016/j.specom.2005.08.004_bib28 Mercado (10.1016/j.specom.2005.08.004_bib19) 2000; 32–33 Pitton (10.1016/j.specom.2005.08.004_bib26) 1994; 2 Vapnik (10.1016/j.specom.2005.08.004_bib33) 1995 Arons (10.1016/j.specom.2005.08.004_bib1) 1992; 12 10.1016/j.specom.2005.08.004_bib21 Cook (10.1016/j.specom.2005.08.004_bib11) 1993 Papoulis (10.1016/j.specom.2005.08.004_bib24) 1977 10.1016/j.specom.2005.08.004_bib40 Claasen (10.1016/j.specom.2005.08.004_bib9) 1980; 35 Davis (10.1016/j.specom.2005.08.004_bib12) 2002 Gabor (10.1016/j.specom.2005.08.004_bib14) 1946; 93 (10.1016/j.specom.2005.08.004_bib18) 1997 Bendat (10.1016/j.specom.2005.08.004_bib4) 2000 10.1016/j.specom.2005.08.004_bib36 Hinich (10.1016/j.specom.2005.08.004_bib17) 1982; 30 Haykin (10.1016/j.specom.2005.08.004_bib15) 1995; 43 10.1016/j.specom.2005.08.004_bib39 10.1016/j.specom.2005.08.004_bib38 10.1016/j.specom.2005.08.004_bib37
References_xml	– volume: 32–33 start-page: 913 year: 2000 end-page: 919 ident: bib19 article-title: Modeling auditory cortical processing as an adaptive Chirplet transform publication-title: Neurocomputing contributor: fullname: Gluck – year: 2002 ident: bib27 article-title: Discrete-time Speech Signal Processing contributor: fullname: Quatieri – volume: 89 start-page: 425 year: 1991 end-page: 434 ident: bib6 article-title: Calculation of a constant- publication-title: J. Acoust. Soc. Amer. contributor: fullname: Brown – year: 1995 ident: bib34 article-title: Wavelets and Subband Coding contributor: fullname: Kovacevic – year: 1995 ident: bib33 article-title: The Nature of Statistical Learning Theory contributor: fullname: Vapnik – year: 1993 ident: bib11 article-title: Radar signals: And Introduction to Theory and Applications contributor: fullname: Cook – year: 2001 ident: bib23 article-title: The Fractional Fourier Transform with Applications in Optics and Signal Processing contributor: fullname: Zalevsky – volume: 21 year: 1973 ident: bib8 article-title: The synthesis of complex audio spectra by means of frequency modulation publication-title: J. Audio Eng. Soc. contributor: fullname: Chowning – year: 1977 ident: bib24 article-title: Signal Analysis contributor: fullname: Papoulis – year: 2000 ident: bib4 article-title: Random Data Analysis and Measurement Procedures contributor: fullname: Piersol – volume: 2 start-page: 554 year: 1994 end-page: 566 ident: bib26 article-title: Applications of positive time–frequency distributions to speech processing publication-title: IEEE Trans. Speech Audio Process. contributor: fullname: Loughlin – volume: 93 start-page: 429 year: 1946 end-page: 457 ident: bib14 article-title: Theory of communication publication-title: J. IEE, Pt. III contributor: fullname: Gabor – volume: 10 start-page: 1 year: 1996 end-page: 22 ident: bib25 article-title: Perceptual wavelet representation of speech signals and its application to speech enhancement publication-title: Comput. Speech Lang. contributor: fullname: Pinter – volume: 43 start-page: 2745 year: 1995 end-page: 2761 ident: bib15 article-title: The Chirplet transform: physical considerations publication-title: IEEE Trans. Signal Process. contributor: fullname: Mann – volume: 23 start-page: 251 year: 1986 end-page: 260 ident: bib35 article-title: Compensatory speech behaviours in cleft palate: a regulation/control phenomena publication-title: J. Cleft Palate contributor: fullname: Warren – volume: 30 start-page: 747 year: 1982 end-page: 750 ident: bib17 article-title: Detecting a periodic signal when its period is unknown publication-title: IEEE Trans. Acoust. Speech Signal Process. contributor: fullname: Hinich – volume: 12 start-page: 35 year: 1992 end-page: 50 ident: bib1 article-title: A review of the cocktail party effect publication-title: J. Amer. Voice I/O Soc. contributor: fullname: Arons – year: 1998 ident: bib13 article-title: Time–Frequency/Time-scale Analysis contributor: fullname: Flandrin – volume: IT-2 year: 1956 ident: bib30 article-title: A radar detection philosophy publication-title: IEEE Trans. Information Theory contributor: fullname: Siebert – year: 1995 ident: bib10 article-title: Time–Frequency Analysis contributor: fullname: Cohen – volume: 2 start-page: 578 year: 1994 end-page: 589 ident: bib16 article-title: RASTA processing of speech publication-title: IEEE Trans. Speech Audio Process. contributor: fullname: Hermansky – volume: 42 start-page: 808 year: 1994 end-page: 818 ident: bib5 article-title: Removing noise from music using local trigonometric bases and wavelet packets publication-title: J. Audio Eng. Soc. contributor: fullname: Goldberg – volume: 97 start-page: 17199 year: 1992 end-page: 17204 ident: bib20 article-title: Whistler analysis in the time–frequency plane using chirplets publication-title: J. Geophys. Res. contributor: fullname: Bracewell – year: 2002 ident: bib12 article-title: Noise Reduction in Speech Applications contributor: fullname: Davis – year: 1997 ident: bib18 publication-title: The Wigner Distribution—Theory and Applications in Signal Processing – volume: 35 start-page: 217 year: 1980 end-page: 250 ident: bib9 article-title: The Wigner distribution—A tool for time-frequency signal analysis publication-title: Philips J. Res. contributor: fullname: Mecklenbräuker – year: 2000 ident: 10.1016/j.specom.2005.08.004_bib4 contributor: fullname: Bendat – ident: 10.1016/j.specom.2005.08.004_bib2 – ident: 10.1016/j.specom.2005.08.004_bib21 doi: 10.1109/ICASSP.1999.758347 – year: 1995 ident: 10.1016/j.specom.2005.08.004_bib33 contributor: fullname: Vapnik – ident: 10.1016/j.specom.2005.08.004_bib40 – year: 2002 ident: 10.1016/j.specom.2005.08.004_bib12 contributor: fullname: Davis – year: 1993 ident: 10.1016/j.specom.2005.08.004_bib11 contributor: fullname: Cook – ident: 10.1016/j.specom.2005.08.004_bib31 doi: 10.1109/SCFT.1999.781514 – ident: 10.1016/j.specom.2005.08.004_bib32 doi: 10.1109/TFSA.1998.721547 – ident: 10.1016/j.specom.2005.08.004_bib38 – volume: 35 start-page: 217 issue: 3,4/5,6 year: 1980 ident: 10.1016/j.specom.2005.08.004_bib9 article-title: The Wigner distribution—A tool for time-frequency signal analysis publication-title: Philips J. Res. contributor: fullname: Claasen – ident: 10.1016/j.specom.2005.08.004_bib7 – year: 1977 ident: 10.1016/j.specom.2005.08.004_bib24 contributor: fullname: Papoulis – year: 2002 ident: 10.1016/j.specom.2005.08.004_bib27 contributor: fullname: Quatieri – volume: 32–33 start-page: 913 year: 2000 ident: 10.1016/j.specom.2005.08.004_bib19 article-title: Modeling auditory cortical processing as an adaptive Chirplet transform publication-title: Neurocomputing doi: 10.1016/S0925-2312(00)00260-5 contributor: fullname: Mercado – ident: 10.1016/j.specom.2005.08.004_bib3 doi: 10.1109/ICASSP.1993.319500 – ident: 10.1016/j.specom.2005.08.004_bib29 doi: 10.1109/MWSCAS.1993.343407 – ident: 10.1016/j.specom.2005.08.004_bib36 doi: 10.21437/Eurospeech.2003-14 – volume: 23 start-page: 251 issue: 4 year: 1986 ident: 10.1016/j.specom.2005.08.004_bib35 article-title: Compensatory speech behaviours in cleft palate: a regulation/control phenomena publication-title: J. Cleft Palate contributor: fullname: Warren – volume: 12 start-page: 35 year: 1992 ident: 10.1016/j.specom.2005.08.004_bib1 article-title: A review of the cocktail party effect publication-title: J. Amer. Voice I/O Soc. contributor: fullname: Arons – volume: 2 start-page: 554 issue: 4 year: 1994 ident: 10.1016/j.specom.2005.08.004_bib26 article-title: Applications of positive time–frequency distributions to speech processing publication-title: IEEE Trans. Speech Audio Process. doi: 10.1109/89.326614 contributor: fullname: Pitton – volume: 97 start-page: 17199 issue: A11 year: 1992 ident: 10.1016/j.specom.2005.08.004_bib20 article-title: Whistler analysis in the time–frequency plane using chirplets publication-title: J. Geophys. Res. doi: 10.1029/92JA01140 contributor: fullname: Mihovilovic – volume: IT-2 issue: 3 year: 1956 ident: 10.1016/j.specom.2005.08.004_bib30 article-title: A radar detection philosophy publication-title: IEEE Trans. Information Theory doi: 10.1109/TIT.1956.1056805 contributor: fullname: Siebert – year: 1997 ident: 10.1016/j.specom.2005.08.004_bib18 – volume: 10 start-page: 1 issue: 1 year: 1996 ident: 10.1016/j.specom.2005.08.004_bib25 article-title: Perceptual wavelet representation of speech signals and its application to speech enhancement publication-title: Comput. Speech Lang. doi: 10.1006/csla.1996.0001 contributor: fullname: Pinter – year: 1998 ident: 10.1016/j.specom.2005.08.004_bib13 contributor: fullname: Flandrin – ident: 10.1016/j.specom.2005.08.004_bib22 doi: 10.1109/TFSA.1998.721452 – year: 1995 ident: 10.1016/j.specom.2005.08.004_bib34 contributor: fullname: Vetterli – volume: 93 start-page: 429 issue: 26 year: 1946 ident: 10.1016/j.specom.2005.08.004_bib14 article-title: Theory of communication publication-title: J. IEE, Pt. III contributor: fullname: Gabor – volume: 30 start-page: 747 issue: 5 year: 1982 ident: 10.1016/j.specom.2005.08.004_bib17 article-title: Detecting a periodic signal when its period is unknown publication-title: IEEE Trans. Acoust. Speech Signal Process. doi: 10.1109/TASSP.1982.1163952 contributor: fullname: Hinich – volume: 2 start-page: 578 issue: 4 year: 1994 ident: 10.1016/j.specom.2005.08.004_bib16 article-title: RASTA processing of speech publication-title: IEEE Trans. Speech Audio Process. doi: 10.1109/89.326616 contributor: fullname: Hermansky – ident: 10.1016/j.specom.2005.08.004_bib37 – ident: 10.1016/j.specom.2005.08.004_bib39 – volume: 43 start-page: 2745 issue: 11 year: 1995 ident: 10.1016/j.specom.2005.08.004_bib15 article-title: The Chirplet transform: physical considerations publication-title: IEEE Trans. Signal Process. doi: 10.1109/78.482123 contributor: fullname: Haykin – volume: 89 start-page: 425 year: 1991 ident: 10.1016/j.specom.2005.08.004_bib6 article-title: Calculation of a constant-Q spectral transform publication-title: J. Acoust. Soc. Amer. doi: 10.1121/1.400476 contributor: fullname: Brown – year: 1995 ident: 10.1016/j.specom.2005.08.004_bib10 contributor: fullname: Cohen – volume: 42 start-page: 808 issue: 10 year: 1994 ident: 10.1016/j.specom.2005.08.004_bib5 article-title: Removing noise from music using local trigonometric bases and wavelet packets publication-title: J. Audio Eng. Soc. contributor: fullname: Berger – volume: 21 issue: 7 year: 1973 ident: 10.1016/j.specom.2005.08.004_bib8 article-title: The synthesis of complex audio spectra by means of frequency modulation publication-title: J. Audio Eng. Soc. contributor: fullname: Chowning – ident: 10.1016/j.specom.2005.08.004_bib28 – year: 2001 ident: 10.1016/j.specom.2005.08.004_bib23 contributor: fullname: Ozaktas
SSID	ssj0004882
Score	2.0303776
Snippet	In this paper, a new method for time–frequency analysis of speech signals is proposed. Given that the fundamental frequency of voiced speech often undergoes... In this paper, a new method for time-frequency analysis of speech signals is proposed. Given that the fundamental frequency of voiced speech often undergoes...
SourceID	proquest crossref pascalfrancis elsevier
SourceType	Aggregation Database Index Database Publisher
StartPage	474
SubjectTerms	Applied sciences Detection, estimation, filtering, equalization, prediction Exact sciences and technology Fan-Chirp transform Harmonically related chirps Information, signal and communications theory Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Speech processing Telecommunications and information theory Time–frequency analysis
Title	Adaptive chirp-based time–frequency analysis of speech signals
URI	https://dx.doi.org/10.1016/j.specom.2005.08.004 https://search.proquest.com/docview/29194640 https://search.proquest.com/docview/85342457 https://search.proquest.com/docview/85634349
Volume	48
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
link	http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB6V7aUSqujy2tIuPiBuZjfxI_GNVdVqC6UXqOgtcmJb3QKbKLs99IL4D_xDfgkzebSqUEHiGtlOPDP5ZjyeB8Aro_Fo4p3gSZxqLn2seW6M56JwTqJC1sqSv-PDqZ6fyXfn6nwDDvpcGAqr7LC_xfQGrbsnk46ak2qxmHykAHrUryiwZPNQ59pNVEdSDmBzdvx-fnqbHpk2PaOaEt80oc-ga8K8KKGx_NY5VyiuUt6noR5WdoV0C23Diz-wu1FIR49gu7Mk2az92B3Y8MshPDvp_I8r9pqd3JRMXg1h6wbqroew12blss_-a7C1x7H9g7L-8hjezpytCAdZcbGoK06qzjFqQ__rx89Qt9HX18x2BU1YGRhu0BcXjMJBUKCfwNnR4aeDOe9aLfACT0hrnkcGmZMgGX2iQhyEMjakwUapl0HHJk4UWT5SCZmQjyQokTutc4TLNCqkF09hsCyX_jkw54VKU1zGy1R6Z62f5tIlIfa5yxFfRsB78mZVW1Ej60PNLrOWHdQcU2XUH3MqR5D0PMjuSEaGoP-PmeM7LLt9HZ6xqNLhCF72PMzwr6KrErv05dUqi01kpJbT-0egmUOXxn9ZI1VaSCHN7n9v4AVstR4fiq_cg8G6vvL7aAOt8zE8ePM9GneS_htTAQdP
link.rule.ids	315,786,790,4521,24144,27957,27958,45620,45714
linkProvider	Elsevier
linkToHtml	http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9swDCaK9LACw7Blr3Rdq8Owm5HYeli6LShWpGuay1qsN0O2JDR7xIaTHnrrf9g_3C8Z6UeLYugG7GpIskXSHymKD4B3RuHRxDsepYlWkfCJinJjfMQL5wQqZCUt-TtOF2p2Lj5dyIstOOxzYSisssP-FtMbtO6ejDtqjqvlcvyZAuhRv6LAks1DnWu3hUxjMYDt6fHJbHGXHqmbnlFNiW-a0GfQNWFelNBY_uicKxRXKR7SUI8ru0a6hbbhxR_Y3Siko6fwpLMk2bT92Gew5VdDeDXv_I9r9p7Nb0smr4ewcwt110PYa7Ny2Rf_Pdja49j-QVl_ew4fps5WhIOsuFzWVUSqzjFqQ__r5meo2-jra2a7giasDAw36ItLRuEgKNAv4Pzo49nhLOpaLUQFnpA2UR4bZE6KZPSpDEng0tigg421F0ElJkklWT5CcpGSjyRInjulcoRLHRfC85cwWJUr_xqY81xqjct4oYV31vpJLlwaEp-7HPFlBFFP3qxqK2pkfajZ16xlBzXHlBn1x5yIEaQ9D7J7kpEh6P9j5v49lt29Ds9YVOlwBAc9DzP8q-iqxK58ebXOEhMbocTk4RFo5tCl8V_W0FJxwYXZ_e8NHMCj2dnpPJsfL07ewE7r_aFYyz0YbOor_xbtoU2-38n7b6mwCUE
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Adaptive+chirp-based+time%E2%80%93frequency+analysis+of+speech+signals&rft.jtitle=Speech+communication&rft.au=K%C3%A9pesi%2C+Mari%C3%A1n&rft.au=Weruaga%2C+Luis&rft.date=2006-05-01&rft.pub=Elsevier+B.V&rft.issn=0167-6393&rft.eissn=1872-7182&rft.volume=48&rft.issue=5&rft.spage=474&rft.epage=492&rft_id=info:doi/10.1016%2Fj.specom.2005.08.004&rft.externalDocID=S0167639305002013
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0167-6393&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0167-6393&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0167-6393&client=summon