Edmondo Trentin -  Publication List

[27] E. Trentin and M. Gori. A survey of hybrid ANN/HMM models for automatic speech recognition. Neurocomputing, 2000. Accepted for publication (forthcoming).

[26] E. Trentin and M. Matassoni. The regularized SNN-TA model for recognition of noisy speech. ITC-irst Technical Report 0002-02, ITC-irst, Povo (TN), February 2000. Accepted for presentation at IJCNN 2000 (International Joint Conference on Neural Networks), Como (Italy), 24-27 July 2000.

[25] E. Trentin and D. Giuliani. A mixture of recurrent neural networks for speaker normalization. Neural Computing & Applications, 2000. Accepted for publication (forthcoming).

[24] E. Trentin and R. Cattoni. Learning perception for indoor robot navigation with a hybrid HMM/Recurrent neural networks approach. Connection Science, 11(3/4):243-265, December 1999. Special Issue on Adaptive Robots.

[23] M. Matassoni, M. Omologo, L. Cristoforetti, D. Giuliani, P. Svaizer, E. Trentin, and E. Zovato. Some results on the development of a hands-free speech recognizer for car-environment. In Proceedings of the 1999 international workshop on Automatic Speech Recognition and Understanding (ASRU), Keystone, Colorado, USA, December 12-15 1999.

[22] E. Trentin. Activation functions with learnable amplitude. In Proceedings of IJCNN99, International Joint Conference on Neural Networks, Washington, DC, July 1999.

[21] E. Trentin and M. Gori. A tutorial on connectionist and hybrid HMM/connectionist systems for speech recognition. In N. Kasabov, editor, IJCNN99 Tutorials Track 8 (Book on CD-ROM, Chapter 3): Speech and Language Processing, Dunedin, New Zealand, 1999. University of Otago.

[20] E. Trentin and M. Matassoni. Robust segmental-connectionist learning for recognition of noisy speech. In Proceedings of the first Workshop on Robust Methods for Speech Recognition in Adverse Conditions, pages 159 - 162, Tampere, Finland, May 25-26 1999.

[19] C. Furlanello, D. Giuliani, S. Merler and E. Trentin. Model selection of combined neural nets for speech recognition. In A. J. C. Sharkey, editor, Combining Artificial Neural Nets - Ensemble and Modular Multi-Net Systems, pages 205 - 233, London, UK, 1999. Springer-Verlag.

[18] E. Trentin. HMMs for acoustic modeling: Beyond the problem of local stationarity. In Proceedings of IX AIA Conference on Computational Aspects of Phonetics, volume XXVI, Venezia, 1999.

[17] E. Trentin and M. Gori. Combining neural networks and hidden Markov models for speech recognition. In M. Marinaro and R. Tagliaferri, editors, Neural Nets - WIRN Vietri - 98, pages 63 - 79, Berlin, Germany, 1999. Springer-Verlag.

[16] E. Trentin. Learning the amplitude of activation functions in layered networks. In M. Marinaro and R. Tagliaferri, editors, Neural Nets - WIRN Vietri - 98, pages 138 - 144, Berlin, Germany, 1999. Springer-Verlag.

[15] E. Trentin and R. Cattoni. A hybrid framework for indoor robot navigation. In M. Marinaro and R. Tagliaferri, editors, Neural Nets - WIRN Vietri - 98, pages 255 - 263, Berlin, Germany, 1999. Springer-Verlag.

[14] M. Boninsegna, T. Coianiz and E. Trentin. Estimating the crowding level with a neuro-fuzzy classifier. Journal of Electronic Imaging, 6(3):319-328, July 1997.

[13] E. Trentin and D. Giuliani. Speaker normalization with a mixture of recurrent networks. In Proceedings of ESANN97, European Symposium on Artificial Neural Networks, Bruges, Belgium, April 1997.

[12] E. Trentin. Networks with trainable width of activation functions. IRST Technical Report 9703-08, IRST, Povo (TN), 1997. Submitted for publication in Neural Networks. In review.

[11] E. Trentin and R. Cattoni. A hybrid HMM/recurrent neural networks approach to indoor robot navigation. In Proceedings of RWC97 - Real World Computing Symposium, Tokyo, Japan, January 1997.

[10] C. Furlanello, D. Giuliani, E. Trentin and S. Merler. Speaker normalization and model selection of combined neural nets. Connection Science, 9(1):31-50, January 1997. Special Issue on Combining Neural Nets.

[9] E. Trentin, Y. Bengio, C. Furlanello and R. De Mori. Neural networks for speech recognition. In R. De Mori, editor, Spoken Dialogues with Computers, pages 311-361, London, UK, 1998. Academic Press.

[8] E. Trentin, F. Brugnara, Y. Bengio, C. Furlanello and R. De Mori. Statistical and neural network models for speech recognition. In R. Daniloff (Ed.) Connectionist accounts of clinical and normal language, Hillsdale, N.J.: Erlbaum, 2000 (forthcoming).

[7] E. Trentin, D. Giuliani and C. Furlanello. Spectral mapping: A comparison of connectionist approaches. In M. Marinaro and R. Tagliaferri, editors, Neural Nets. WIRN Vietri-96, pages 270-277, Berlin, May 1996. Springer - Verlag.

[6] E. Trentin, C. Furlanello and D. Falavigna. An evaluation criterion for connectionist systems in classification tasks. In Proceedings of First Workshop on Evaluation criteria of neural nets efficiency in industrial applications, IIASS, Vietri sul Mare (SA), December 1995.

[5] C. Furlanello, D. Giuliani, E. Trentin and D. Falavigna. Applications of generalized radial basis functions in speaker normalization and identification. In Proceedings of ISCAS '95, IEEE International Symposium on Circuit and Systems, pages 867-874, Seattle WA, April, 30 - May, 3 1995.

[4] C. Furlanello, D. Giuliani and E. Trentin. Connectionist speaker normalization with Generalized Resource Allocating Networks. In G. Tesauro, D. S. Touretzky and T. K. Leen, editors, Advances in Neural Information Processing Systems 7, pages 1704-1707, Cambridge MA, 1995. MIT Press.

[3] E. Trentin and P. Miotti. HE: una macchina astratta per la gestione di sistemi ipermediali. Note di Software, 51:35-43, March 1991. In Italian.

[2] E. Trentin. I frattali - parte II. Bit, 107:126-131, July - August 1989. In Italian.

[1] E. Trentin. I frattali - parte I. Bit, 106:97-101, June 1989. In Italian.