The Centre for Speech Technology Research, The university of Edinburgh

Publications by Joe Frankel

[1] Dong Wang, Javier Tejedor, Simon King, and Joe Frankel. Term-dependent confidence normalization for out-of-vocabulary spoken term detection. Journal of Computer Science and Technology, 27(2), 2012. [ bib | DOI | Abstract ]
[2] Ravi Chander Vipperla, Steve Renals, and Joe Frankel. Augmentation of adaptation data. In Proc. Interspeech, pages 530-533, Makuhari, Japan, September 2010. [ bib | .pdf | Abstract ]
[3] D. Wang, S. King, and J. Frankel. Stochastic pronunciation modelling for out-of-vocabulary spoken term detection. Audio, Speech, and Language Processing, IEEE Transactions on, PP(99), July 2010. [ bib | DOI | Abstract ]
[4] Dong Wang, Simon King, Joe Frankel, and Peter Bell. Stochastic pronunciation modelling and soft match for out-of-vocabulary spoken term detection. In Proc. ICASSP, Dallas, Texas, USA, March 2010. [ bib | .pdf | Abstract ]
[5] Ravi Chander Vipperla, Steve Renals, and Joe Frankel. Ageing voices: The effect of changes in voice parameters on ASR performance. EURASIP Journal on Audio, Speech, and Music Processing, 2010. [ bib | DOI | http | .pdf | Abstract ]
[6] Dong Wang, Simon King, and Joe Frankel. Stochastic pronunciation modelling for spoken term detection. In Proc. Interspeech, pages 2135-2138, Brighton, UK, September 2009. [ bib | .pdf | Abstract ]
[7] Dong Wang, Simon King, Joe Frankel, and Peter Bell. Term-dependent confidence for out-of-vocabulary term detection. In Proc. Interspeech, pages 2139-2142, Brighton, UK, September 2009. [ bib | .pdf | Abstract ]
[8] Javier Tejedor, Dong Wang, Simon King, Joe Frankel, and Jose Colas. A posterior probability-based system hybridisation and combination for spoken term detection. In Proc. Interspeech, pages 2131-2134, Brighton, UK, September 2009. [ bib | .pdf | Abstract ]
[9] Dong Wang, Tejedor Tejedor, Joe Frankel, and Simon King. Posterior-based confidence measures for spoken term detection. In Proc. ICASSP09, Taiwan, April 2009. [ bib | .pdf | Abstract ]
[10] Javier Tejedor, Dong Wang, Joe Frankel, Simon King, and José Colás. A comparison of grapheme and phoneme-based units for Spanish spoken term detection. Speech Communication, 50(11-12):980-991, November 2008. [ bib | DOI | Abstract ]
[11] Dong Wang, Ivan Himawan, Joe Frankel, and Simon King. A posterior approach for microphone array based speech recognition. In Proc. Interspeech, pages 996-999, September 2008. [ bib | .pdf | Abstract ]
[12] Joe Frankel, Dong Wang, and Simon King. Growing bottleneck features for tandem ASR. In Proc. Interspeech, page 1549, September 2008. [ bib | .pdf | Abstract ]
[13] Laszlo Toth, Joe Frankel, Gabor Gosztolya, and Simon King. Cross-lingual portability of mlp-based tandem features - a case study for english and hungarian. In Proc. Interspeech, pages 2695-2698, Brisbane, Australia, September 2008. [ bib | .PDF | Abstract ]
[14] Dong Wang, Joe Frankel, Javier Tejedor, and Simon King. A comparison of phone and grapheme-based spoken term detection. In Proc. ICASSP, pages 4969-4972, March 2008. [ bib | DOI | Abstract ]
[15] Ravichander Vipperla, Steve Renals, and Joe Frankel. Longitudinal study of ASR performance on ageing voices. In Proc. Interspeech, Brisbane, 2008. [ bib | .pdf | Abstract ]
[16] J. Frankel and S. King. Factoring Gaussian precision matrices for linear dynamic models. Pattern Recognition Letters, 28(16):2264-2272, December 2007. [ bib | DOI | .pdf | Abstract ]
[17] Ö. Çetin, M. Magimai-Doss, A. Kantor, S. King, C. Bartels, J. Frankel, and K. Livescu. Monolingual and crosslingual comparison of tandem features derived from articulatory and phone MLPs. In Proc. ASRU, Kyoto, December 2007. IEEE. [ bib | .pdf | Abstract ]
[18] J. Frankel, M. Wester, and S. King. Articulatory feature recognition using dynamic Bayesian networks. Computer Speech & Language, 21(4):620-640, October 2007. [ bib | .pdf | Abstract ]
[19] J. Frankel, M. Magimai-Doss, S. King, K. Livescu, and Ö. Çetin. Articulatory feature classifiers trained on 2000 hours of telephone speech. In Proc. Interspeech, Antwerp, Belgium, August 2007. [ bib | .pdf | Abstract ]
[20] Ö. Çetin, A. Kantor, S. King, C. Bartels, M. Magimai-Doss, J. Frankel, and K. Livescu. An articulatory feature-based tandem approach and factored observation modeling. In Proc. ICASSP, Honolulu, April 2007. [ bib | .pdf | Abstract ]
[21] K. Livescu, Ö. Çetin, M. Hasegawa-Johnson, S. King, C. Bartels, N. Borges, A. Kantor, P. Lal, L. Yung, S. Bezman, Dawson-Haggerty, B. Woods, J. Frankel, M. Magimai-Doss, and K. Saenko. Articulatory feature-based methods for acoustic and audio-visual speech recognition: Summary from the 2006 JHU Summer Workshop. In Proc. ICASSP, Honolulu, April 2007. [ bib | .pdf | Abstract ]
[22] K. Livescu, A. Bezman, N. Borges, L. Yung, Ö. Çetin, J. Frankel, S. King, M. Magimai-Doss, X. Chi, and L. Lavoie. Manual transcription of conversational speech at the articulatory feature level. In Proc. ICASSP, Honolulu, April 2007. [ bib | .pdf | Abstract ]
[23] S. King, J. Frankel, K. Livescu, E. McDermott, K. Richmond, and M. Wester. Speech production knowledge in automatic speech recognition. Journal of the Acoustical Society of America, 121(2):723-742, February 2007. [ bib | .pdf | Abstract ]
[24] J. Frankel and S. King. Speech recognition using linear dynamic models. IEEE Transactions on Speech and Audio Processing, 15(1):246-256, January 2007. [ bib | .ps | .pdf | Abstract ]
[25] J. Frankel and S. King. Observation process adaptation for linear dynamic models. Speech Communication, 48(9):1192-1199, September 2006. [ bib | .ps | .pdf | Abstract ]
[26] A. Janin, A. Stolcke, X. Anguera, K. Boakye, Ö. Çetin, J. Frankel, and J. Zheng. The ICSI-SRI spring 2006 meeting recognition system. In Proc. MLMI, Washington DC., May 2006. [ bib | .ps | .pdf | Abstract ]
[27] J. Frankel and S. King. A hybrid ANN/DBN approach to articulatory feature recognition. In Proc. Eurospeech, Lisbon, September 2005. [ bib | .ps | .pdf | Abstract ]
[28] M. Wester, J. Frankel, and S. King. Asynchronous articulatory feature recognition using dynamic Bayesian networks. In Proc. IEICI Beyond HMM Workshop, Kyoto, December 2004. [ bib | .ps | .pdf | Abstract ]
[29] J. Frankel, M. Wester, and S. King. Articulatory feature recognition using dynamic Bayesian networks. In Proc. ICSLP, September 2004. [ bib | .ps | .pdf | Abstract ]
[30] J. Frankel. Linear dynamic models for automatic speech recognition. PhD thesis, The Centre for Speech Technology Research, Edinburgh University, April 2003. [ bib | .ps | .pdf | Abstract ]
[31] J. Frankel and S. King. ASR - articulatory speech recognition. In Proc. Eurospeech, pages 599-602, Aalborg, Denmark, September 2001. [ bib | .ps | .pdf | Abstract ]
[32] J. Frankel and S. King. Speech recognition in the articulatory domain: investigating an alternative to acoustic HMMs. In Proc. Workshop on Innovations in Speech Processing, April 2001. [ bib | .ps | .pdf | Abstract ]
[33] J. Frankel, K. Richmond, S. King, and P. Taylor. An automatic speech recognition system using neural networks and linear dynamic models to recover and model articulatory traces. In Proc. ICSLP, 2000. [ bib | .ps | .pdf | Abstract ]
[34] S. King, P. Taylor, J. Frankel, and K. Richmond. Speech recognition via phonetically-featured syllables. In PHONUS, volume 5, pages 15-34, Institute of Phonetics, University of the Saarland, 2000. [ bib | .ps | .pdf | Abstract ]