( en | de | ru )

 

Disambiguation of "McDermott, Erik"

Author of the publication

copydeleteadd this publication to your clipboard
Production-Oriented Models for Speech Recognition.

, and . IEICE Trans. Inf. Syst., 89-D (3): 1006-1014 (2006)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Christopher McDermott

Nilgün Erikli

Anders Erikson

Magdalena Karin Matilda Eriksson

Max-Peter Eriksen

 

Other publications of authors with the same name

Minimum classification error training of landmark models for real-time continuous speech recognition., and . ICASSP (1), page 937-940. IEEE, (2004)Minimum classification error via a Parzen window based estimate of the theoretical Bayes classification risk., and . NNSP, page 415-424. IEEE, (2002)A derivation of minimum classification error from the theoretical classification risk using Parzen estimation., and . Comput. Speech Lang., 18 (2): 107-122 (2004)A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition., , and . CoRR, (2020)Speaker-independent large vocabulary word recognition using an LVQ/HMM hybrid algorithm., , and . ICASSP, page 553-556. IEEE Computer Society, (1991)Prototype-based discriminative training for various speech units., and . ICASSP, page 417-420. IEEE Computer Society, (1992)A hybrid speech recognition system using HMMs with an LVQ-trained codebook., , , and . ICASSP, page 489-492. IEEE, (1990)A telephone-based directory assistance system adaptively trained using minimum classification error/generalized probabilistic descent., , and . ICASSP, page 3346-3349. IEEE Computer Society, (1996)Efficient normalization based upon GPD generalized probabilistic descent., , , and . ICASSP, page 3245-3248. IEEE Computer Society, (1997)Discriminative training via minimization of risk estimates based on Parzen smoothing., and . Appl. Intell., 25 (1): 37-57 (2006)