Minimum classification error training of landmark models for real-time continuous speech recognition - McDermott, E.; Hazen, T.J. (2004 IEEE International Conference on Acoustics, Speech and Signal Processing, 2004)
Keywords: Applied sciences; Computer errors; Computer science; Error analysis; Exact sciences and technology; Information, signal and communications theory; Jupiter; Laboratories; Lattices; Management training; Maximum likelihood estimation; Optimization methods; Signal processing; Speech processing; Speech recognition; Telecommunications and information theory; Performance evaluation; Second order; Vocabulary; Discriminant analysis; Probabilistic approach; Minimum classification error; Error rate; Jupiter planet; Real time system; Optimization; Learning; Loss function; Computation time; Hidden Markov models; Batch process; Speech recognition; Maximum likelihood; Speech processing; Parallelization