Publications

2003

F. Beaufays, A. Sankar, Sh. Williams, M. Weintraub " Learning Name Pronunciations in Automatic Speech Recognition Systems" (pdf), Proc. ICTAI, Sacramento, CA, 2003.

F. Beaufays, A. Sankar, Sh. Williams, M. Weintraub " Learning Linguistically Valid Pronunciations from Acoustic Data" (pdf), Proc. Eurospeech, Geneva, Switzerland, 2003.

F. Beaufays, D. Boies, M. Weintraub, Q. Zhu, " Using Speech/Non-Speech Detection to Bias Recognition Search on Noisy Data" (pdf), Proc. ICASSP, Hong-Kong, 2003.

F. Beaufays, H. Bourlard, H. Franco, N. Morgan, " Speech Recognition Technology" (pdf), The Handbook of Brain Theory and Neural Networks, Second Edition, Ed. M. Arbib, MIT Press, 2003.

2002

F. Beaufays, D. Boies, M. Weintraub, " Porting Channel Robustness Across Languages" (pdf), Proc. ICSLP, Denver, CO, Sept. 2002.

1999

H. Murthy, F. Beaufays, L. Heck, M. Weintraub, " Robust Text-Independent Speaker Identification over Telephone Channels (pdf)" (pdf), IEEE Trans. on Speech and Audio Processing, Vol. 7, No. 5, Sept. 1999.

M. Weintraub, F. Beaufays, " Increased Robustness of Noisy Speech Features Using Neural Networks" (pdf), Workshop on Robust Methods for Speech Recognition in Adverse Conditions, Tampere, Finland, May 1999.

F. Beaufays, M. Weintraub, Y. Konig, "Discriminative Mixture Weight Estimation for Large Gaussian Mixture Models" (pdf), Proc. ICASSP'99, Phoenix, AZ, March 1999.

1998

E. Wan and F. Beaufays, "Diagrammatic Methods for Deriving and Relating Temporal Neural Network Algorithms" (pdf) (draft), chapter in Lecture notes from the Caianiello Summer School on Adaptive Processing of Sequences , Springer-Verlag, Vietri sul Mare, Salerno, Italy, 6-14 September 1997.

F. Beaufays, M. Weintraub, and Y. Konig, "DYNAMO: An Algorithm for Dynamic Acoustic Modeling" (pdf), Proc. 1998 DARPA Broadcast News Transcription and Understanding Workshop .

1997

H. Murthy, F. Beaufays, L. Heck, M. Weintraub, Feature Extraction for Speaker Identification, Proc. Signal Processing, Communications and Networking, Indian Institute of Science, Bengalore, India, July 1997, pp. 43-50.

F. Beaufays and M. Weintraub, "Model Transformation for Robust Speaker Recognition from Telephone Data" (pdf), Proc. ICASSP'97, Munich, Germany, vol.2, pp. 1063-1066.

M. Weintraub, F. Beaufays, Z. Rivlin, Y. Konig, A. Stolcke, "Neural - Network Based Measures of Confidence for Word Recognition" (pdf), Proc. ICASSP'97, Munich, Germany, vol.2, pp. 887-890.

1996

A. Sankar, A. Stolcke, T. Chung, L. Neumeyer, M. Weintraub, H. Franco, F. Beaufays, "Noise-Resistant Feature Extraction and Model Training for Robust Speech Recognition" (pdf), Proc. ARPA Speech Recognition Workshop, 18-21 February 1996.

E. Wan and F. Beaufays, "Diagrammatic Derivation of Gradient Algorithms for Neural Networks" (pdf), Neural Computation, vol. 8(1), pp. 182-201, January 1996.

1995

F. Beaufays, "Orthogonalizing Adaptive Algorithms: RLS, DFT/LMS, and DCT/LMS" (pdf), chapter in Adaptive Inverse Control, B. Widrow and E. Walach, Prentice Hall, 1995.

A. Sankar, F. Beaufays, V. Digalakis, "Training Data Clustering for Improved Speech Recognition" (pdf), Proc. Eurospeech'95, vol. I(2), pp. 503-506, Madrid, Spain, September 1995.

F. Beaufays, "Two-Layer Linear Structures for Fast Adaptive Filtering" (pdf), Ph.D. Thesis, Information Systems Laboratory, Department of Electrical Engineering, Stanford University, June 1995.

F. Beaufays and B. Widrow, ""On the Advantages of the LMS Spectrum Analyzer over Non-Adaptive Implementations of the Sliding-DFT" (pdf), IEEE Trans. on Circuits and Systems, vol. 42(4), pp. 218-219, April 1995.

F. Beaufays, "Transform Domain Adaptive Filters: An Analytical Approach" (pdf), IEEE Trans. on Signal Proc., vol. 43(2), pp. 422-431, February 1995.

1994

E. Wan and F. Beaufays, "Network Reciprocity: A Simple Approach to Derive Gradient Algorithms for Arbitrary Neural Network Structures" (pdf), Proc. WCNN'94, vol. III, pp. 382-389, San Diego, CA, 6-9 June 1994.

F. Beaufays and B. Widrow, "Two-Layer Linear Structures for Fast Adaptive Filtering" (pdf), Proc. WCNN'94, vol. III, pp. 87-93, San Diego, CA, 6-9 June 1994.

F. Beaufays and E. Wan, "A Unified Approach to Derive Gradient Algorithms for Arbitrary Neural Network Structures" (pdf), Proc. ICANN'94, vol. 1, pp. 545-548, Sorrento, Italy, 26-29 May 1994.

F. Beaufays and E. Wan, "An Efficient First-Order Stochastic Algorithm for Lattice Filters" (pdf), Proc. ICANN'94, vol. 2, pp. 1021-1024, Sorrento, Italy, 26-29 May 1994.

F. Beaufays, Y. Abdel-Magid, B. Widrow, "Application of Neural Networks to Load-Frequency Control in Power Systems" (pdf), Neural Networks, vol. 7(1), pp. 183-194, March 1994.

F. Beaufays and E. Wan, "Relating Real-Time Backpropagation and Backpropagation Through-Time: An Application of Flow Graph Interreciprocity" (pdf), Neural Computation, vol. 6(2), pp. 296-306, March 1994.

1993

F. Beaufays e B. Widrow, "Simple Algorithms for Fast Adaptive Filtering" (pdf), Proc. of the Fifth Workshop on Neural Networks, WNN93/FNN93, pp. 231-236, San Francisco, CA, 7-10 November 1993. Best paper award.

B. Widrow, M. Lehr, F. Beaufays, E. Wan, M. Bilello, "Adaptive Signal Processing", Proc. of the World Conference on Neural Networks'93, Portland, OR, 11-15 July 1993.

B. Widrow, M. Lehr, F. Beaufays, E. Wan, M. Bilello, "Stanford Neural Network Research", 1993 SPIE Proceedings Series, Orlando, FL, 12-16 April 1993.

B. Widrow, M. Lehr, F. Beaufays, E. Wan, M. Bilello, "Learning Algorithms for Adaptive Signal Processing and Control", Proc. of 1993 IEEE International Conference on Neural Networks, vol. I, pp. 1-8, San Francisco, CA, 28 March - 1 April 1993.

1992

F. Beaufays and E. Wan, "Using Flow Graph Interreciprocity to Relate Recurrent-Backpropagation and Backpropagation-Through-Time", Proc. of the 1992 INNS Summer Workshop on Neural Network Computing for the Electric Power Industry, pp. 31-35, Stanford, CA, 17-19 August 1992.

B. Widrow and F. Beaufays, "Neural Control Systems", Proc. of the 1992 INNS Summer Workshop on Neural Network Computing for the Electric Power Industry, pp. 143-148, Stanford, CA, 17-19 August 1992.

F. Beaufays and B. Widrow, "Load-Frequency Control Using Neural Networks", Proc. of the 1992 INNS Summer Workshop on Neural Network Computing for the Electric Power Industry, pp. 153-157, Stanford, CA, 17-19 August 1992.

1991

F. Beaufays and B. Widrow, "Application of Neural Networks to Nonlinear Control in Power Systems", Proc. of the EPRI/NSF workshop on application of advanced mathematics to power systems, pp. 4:29-4:33, Redwood City, CA, 4-6 September 1991.

1988

F. Beaufays, "Conception, simulation et réalisation en technologie CMOS d'un microprocesseur à architecture RISC", Université Libre de Bruxelles, Faculté des Sciences Appliquées, Bachelor Thesis, June 1988.