{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T12:09:23Z","timestamp":1762603763526},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2011,10,11]],"date-time":"2011-10-11T00:00:00Z","timestamp":1318291200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J Speech Technol"],"published-print":{"date-parts":[[2012,3]]},"DOI":"10.1007\/s10772-011-9116-2","type":"journal-article","created":{"date-parts":[[2011,10,10]],"date-time":"2011-10-10T20:01:38Z","timestamp":1318276898000},"page":"5-23","source":"Crossref","is-referenced-by-count":27,"title":["Bayesian on-line spectral change point detection: a soft computing approach for on-line ASR"],"prefix":"10.1007","volume":"15","author":[{"given":"M. F. R.","family":"Chowdhury","sequence":"first","affiliation":[]},{"given":"S.-A.","family":"Selouani","sequence":"additional","affiliation":[]},{"given":"D.","family":"O\u2019Shaughnessy","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2011,10,11]]},"reference":[{"key":"9116_CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-3122-7","volume-title":"Acoustical and environmental robustness in automatic speech recognition","author":"A. Acero","year":"1993","unstructured":"Acero, A. (1993). Acoustical and environmental robustness in automatic speech recognition. Dordrecht: Kluwer Academic."},{"key":"9116_CR2","unstructured":"Adams, R. P., & Mackay, D. J. C. (2007). Bayesian online changepoint detection. University of Cambridge Technical Report. arXiv:0710.3742v1 [stat.ML]."},{"issue":"6","key":"9116_CR3","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1109\/89.725319","volume":"6","author":"M. Afify","year":"1998","unstructured":"Afify, M., Gong, Y., & Haton, J.-P. (1998). A general joint additive and convolutive bias compensation approach applied to noisy lombard speech recognition. IEEE Transactions on Speech and Audio Processing, 6(6), 524\u2013538.","journal-title":"IEEE Transactions on Speech and Audio Processing"},{"issue":"2","key":"9116_CR4","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1109\/TASL.2006.881694","volume":"15","author":"M. Akbacak","year":"2007","unstructured":"Akbacak, M., & Hansen, J. H. L. (2007). Environmental sniffing: noise knowledge estimation for robust speech systems. IEEE Transactions on Audio, Speech, and Language Processing, 15(2), 465\u2013477.","journal-title":"IEEE Transactions on Audio, Speech, and Language Processing"},{"issue":"3","key":"9116_CR5","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.csl.2007.07.004","volume":"22","author":"V. Barreaud","year":"2008","unstructured":"Barreaud, V., Illina, I., & Fohr, D. (2008). On-line stochastic matching compensation for non-stationary noise. Computer Speech & Language, 22(3), 207\u2013229.","journal-title":"Computer Speech & Language"},{"key":"9116_CR6","first-page":"208","volume-title":"Proc. IEEE int. conf. acoustics, speech, signal proc","author":"M. Berouti","year":"1979","unstructured":"Berouti, M., Schwartz, M., & Makhoul, J. (1979). Enhancement of speech corrupted by acoustic noise. In Proc. IEEE int. conf. acoustics, speech, signal proc (pp. 208\u2013211)."},{"key":"9116_CR7","first-page":"664","volume-title":"Proc. of IEEE Canadian conference on electrical and computer engineering (CCECE)","author":"M. F. R. Chowdhury","year":"2009","unstructured":"Chowdhury, M. F. R., Selouani, S.-A., & O\u2019Shaughnessy, D. (2009). A\u00a0study on bias-based speech signal conditioning techniques for improving the robustness of automatic speech recognition. In Proc. of IEEE Canadian conference on electrical and computer engineering (CCECE) (pp. 664\u2013669)."},{"key":"9116_CR8","series-title":"Advances in intelligent and soft computing","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1007\/978-3-642-19644-7_47","volume-title":"Proc. of 6th international conference on soft computing models in industrial and environmental applications SOCO 2011","author":"M. F. R. Chowdhury","year":"2011","unstructured":"Chowdhury, M. F. R., Selouani, S.-A., & O\u2019Shaughnessy, D. (2011a). Real-time Bayesian inference: a soft computing approach to environmental learning for on-line robust automatic speech recognition. In Advances in intelligent and soft computing: Vol. 87\/2011. Proc. of 6th international conference on soft computing models in industrial and environmental applications SOCO 2011 (pp. 445\u2013452)."},{"key":"9116_CR9","volume-title":"Proc. of INTERSPEECH 2011","author":"M. F. R. Chowdhury","year":"2011","unstructured":"Chowdhury, M. F. R., Selouani, S.-A., & O\u2019Shaughnessy, D. (2011b). A rapid adaptation algorithm for tracking highly non-stationary noises based on Bayesian inference for on-line spectral change point detection. In Proc. of INTERSPEECH 2011, Florence, Italy, 28\u201331 August."},{"issue":"5","key":"9116_CR10","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1109\/TSA.2003.811544","volume":"11","author":"I. Cohen","year":"2003","unstructured":"Cohen, I. (2003). Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging. IEEE Transactions on Speech and Audio Processing, 11(5), 466\u2013475.","journal-title":"IEEE Transactions on Speech and Audio Processing"},{"issue":"1","key":"9116_CR11","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1109\/97.988717","volume":"9","author":"I. Cohen","year":"2002","unstructured":"Cohen, I., & Berdugo, B. (2002). Noise estimation by minima controlled recursive averaging for robust speech enhancement. IEEE Signal Processing Letters, 9(1), 12\u201315.","journal-title":"IEEE Signal Processing Letters"},{"key":"9116_CR12","series-title":"Springer topics in signal processing","volume-title":"Speech processing in modern communication: challenges and perspectives","year":"2010","unstructured":"Cohen, I., Benesty, J., & Gannot, S. (Eds.) (2010). Springer topics in signal processing: Vol. 3. Speech processing in modern communication: challenges and perspectives (1st edn.). Berlin: Springer.","edition":"1"},{"key":"9116_CR13","unstructured":"ETSI (2000). Speech processing, transmission and quality aspects (STQ); Distributed speech recognition; Front-end feature extraction algorithm; Compression algorithm, ETSI ES 201 108, v1.1.1 (2000-02)."},{"key":"9116_CR14","first-page":"581","volume-title":"Proc. IEEE int. conf. acoustics, speech, signal proc.","author":"N. Fan","year":"2007","unstructured":"Fan, N., Rosca, J., & Balan, R. (2007). Speech noise estimation using enhanced minima controlled recursive averaging. In Proc. IEEE int. conf. acoustics, speech, signal proc. (Vol. 4, pp. 581\u2013584)."},{"key":"9116_CR15","unstructured":"Gales, M. J. L. (1995). Model-based techniques for noise robust speech recognition. Ph.D. Thesis, University of Cambridge, UK."},{"key":"9116_CR16","first-page":"153","volume-title":"Proc. IEEE int. conf. acoustics, speech, signal proc.","author":"H. Hirsch","year":"1995","unstructured":"Hirsch, H., & Ehrlicher, C. (1995). Noise estimation techniques for robust speech recognition. In Proc. IEEE int. conf. acoustics, speech, signal proc. (pp. 153\u2013156)."},{"key":"9116_CR17","first-page":"181","volume-title":"Proceedings of ISCA ITRW ASR2000 automatic speech recognition: challenges for the next millennium","author":"H.-G. Hirsch","year":"2000","unstructured":"Hirsch, H.-G., & Pearce, D. (2000). The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions. In Proceedings of ISCA ITRW ASR2000 automatic speech recognition: challenges for the next millennium (pp. 181\u2013188)."},{"key":"9116_CR18","volume-title":"Spoken language processing\u2014a guide to theory, algorithm, and system development","author":"X. Huang","year":"2001","unstructured":"Huang, X., Acero, A., & Hon, H. W. (2001). Spoken language processing\u2014a guide to theory, algorithm, and system development. New York: Prentice Hall."},{"key":"9116_CR19","unstructured":"ITU-T Recommendation G.712 (1996). Transmission performance characteristics of pulse code modulation channels, ITU-T, November 1996."},{"key":"9116_CR20","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1006\/csla.1999.0125","volume":"13","author":"C. Lawrence","year":"1999","unstructured":"Lawrence, C., & Rahim, M. (1999). Integrated bias removal techniques for robust speech recognition. Computer Speech & Language, 13, 283\u2013298.","journal-title":"Computer Speech & Language"},{"key":"9116_CR21","first-page":"328","volume-title":"Proc. IEEE int. conf. acoustics, speech, signal proc.","author":"R. G. Leonard","year":"1984","unstructured":"Leonard, R. G. (1984). A database for speaker-independent digit recognition. In Proc. IEEE int. conf. acoustics, speech, signal proc. (pp. 328\u2013331)."},{"key":"9116_CR22","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1016\/j.csl.2009.02.001","volume":"23","author":"J. Li","year":"2009","unstructured":"Li, J., Deng, L., Yu, D., Gong, Y., & Acero, A. (2009). A unified framework of HMM adaptation with joint compensation of additive and convolutive distortions. Computer Speech & Language, 23, 389\u2013405.","journal-title":"Computer Speech & Language"},{"key":"9116_CR23","doi-asserted-by":"crossref","DOI":"10.1201\/9781420015836","volume-title":"Speech enhancement: theory and practice","author":"P. C. Loizou","year":"2007","unstructured":"Loizou, P. C. (2007). Speech enhancement: theory and practice. Boca Raton: CRC Press."},{"key":"9116_CR24","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/j.csl.2009.05.001","volume":"24","author":"N. U. Nair","year":"2010","unstructured":"Nair, N. U., & Sreenivas, T. V. (2010). Joint evaluation of multiple speech patterns for speech recognition and training. Computer Speech & Language, 24, 307\u2013340.","journal-title":"Computer Speech & Language"},{"key":"9116_CR25","doi-asserted-by":"crossref","DOI":"10.1109\/9780470546475","volume-title":"Speech communications: human and machine","author":"D. O\u2019Shaughnessy","year":"1999","unstructured":"O\u2019Shaughnessy, D. (1999). Speech communications: human and machine (2nd edn.). New York: Wiley-IEEE Press.","edition":"2"},{"key":"9116_CR26","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/S0167-6393(00)00049-2","volume":"34","author":"X. Men\u00e9ndez-Pidal","year":"2001","unstructured":"Men\u00e9ndez-Pidal, X., Chen, R., Wu, D., & Tanaka, M. (2001). Compensation of channel and noise distortions combining normalization and speech enhancement techniques. Speech Communication, 34, 115\u2013126.","journal-title":"Speech Communication"},{"key":"9116_CR27","volume-title":"Fundamentals of speech recognition","author":"L. Rabiner","year":"1993","unstructured":"Rabiner, L., & Juang, B. H. (1993). Fundamentals of speech recognition. New York: Prentice Hall."},{"key":"9116_CR28","unstructured":"Rangachari, S. (2004). Noise estimation algorithms for highly non-stationary environments. Ph.D Thesis, University of Texas at Dallas, USA."},{"key":"9116_CR29","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.specom.2005.08.005","volume":"48","author":"S. Rangachari","year":"2006","unstructured":"Rangachari, S., & Loizou, P. C. (2006). A noise estimation algorithm for highly nonstationary environments. Speech Communication, 48, 220\u2013231.","journal-title":"Speech Communication"},{"key":"9116_CR30","first-page":"213","volume-title":"Proceedings of interdisciplinary graduate conference (IGC)","author":"R. Turner","year":"2010","unstructured":"Turner, R. (2010). Bayesian change point detection for satellite fault prediction. In Proceedings of interdisciplinary graduate conference (IGC), Cambridge, UK (pp. 213\u2013221)."},{"key":"9116_CR31","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1109\/ISUMA.2003.1236171","volume-title":"Fourth international symposium on uncertainty modeling and analysis (ISUMA 2003)","author":"B. Tian","year":"2003","unstructured":"Tian, B., Sun, M., Sclabassi, R. J., & Yi, K. (2003). A unified compensation approach for speech recognition in severely adverse environment. In Fourth international symposium on uncertainty modeling and analysis (ISUMA 2003) (pp. 256\u2013261)."},{"key":"9116_CR32","volume-title":"ATK real-time API for HTK, ver.\u00a01.6","author":"S. Young","year":"2007","unstructured":"Young, S. (2007). ATK real-time API for HTK, ver.\u00a01.6. Cambridge: Cambridge University Engineering Department."},{"key":"9116_CR33","volume-title":"HTK BOOK ver 3.4","author":"S. Young","year":"2009","unstructured":"Young, S. (2009). HTK BOOK ver 3.4. Cambridge: Machine Intelligence Laboratory, University of Cambridge."}],"container-title":["International Journal of Speech Technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-011-9116-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10772-011-9116-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-011-9116-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,17]],"date-time":"2019-06-17T08:33:12Z","timestamp":1560760392000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10772-011-9116-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,10,11]]},"references-count":33,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2012,3]]}},"alternative-id":["9116"],"URL":"https:\/\/doi.org\/10.1007\/s10772-011-9116-2","relation":{},"ISSN":["1381-2416","1572-8110"],"issn-type":[{"value":"1381-2416","type":"print"},{"value":"1572-8110","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,10,11]]}}}