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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Experimental Facility for Measuring the Impact of Environmental Noise and Speaker Variation on Speech-to-Speech Translation Devices Jones, Douglas A.; Jairam, Arvind; Shen, Wade... In: DTIC (2006) BASE Show details 2 Sparse Forward-Backward for Fast Training of Conditional Random Fields Sutton, Charles; Pal, Chris; McCallum, Andrew In: DTIC (2006) Abstract: Complex tasks in speech and language processing often include random variables with large state spaces, both in speech tasks that involve predicting words and phonemes, and in joint processing of pipelined systems in which the state space can be the labeling of an entire sequence. In large state spaces, however, discriminative training can be expensive, because it often requires many calls to forward-backward. Beam search is a standard heuristic for controlling complexity during Viterbi decoding, but during forward-backward, standard beam heuristics can be dangerous, as they can make training unstable. The authors introduce sparse forward-backward, a variational perspective on beam methods that uses an approximating mixture of Kronecker delta functions. This motivates a novel minimum-divergence beam criterion based on minimizing Kullback-Leibler (KL) divergence between the respective marginal distributions. This beam selection approach is not only more efficient for Viterbi decoding, but also more stable within sparse forward-backward training. For a standard text-to-speech problem, they reduce CRF training time fourfold -- from over a day to 6 hours -- with no loss in accuracy. ; Sponsored in part by the Central Intelligence Agency, the National Security Agency, and the National Science Foundation. The original document contains color images. Keyword: *DECODING; *EXPERT SYSTEMS; *LANGUAGE; *LANGUAGE PROCESSING; *PROCESSING; *SPARSE FORWARD-BACKWARD; *SPEECH ANALYSIS; *TRAINING; *VITERBI DECODING; ACCURACY; BEAM SEARCH; CRF TRAINING; CRF(CONDITIONAL RANDOM FIELDS); Cybernetics; DELTA FUNCTIONS; DISCRETE DISTRIBUTION; ESTIMATES; HEURISTIC METHODS; HIDDEN MARKOV MODELS; LEARNING; Linguistics; MARKOV PROCESSES; MATHEMATICAL PREDICTION; MAX-PRODUCT INFERENCE; MINIMUM-DIVERGENCE BEAM; NETTALK DATA SET; PHONEMES; RANDOM VARIABLES; SPEECH PROCESSING; Statistics and Probability; SUM-PRODUCT INFERENCE; TIME SAVINGS URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA443633 http://www.dtic.mil/docs/citations/ADA443633 BASE Hide details 3 A Linear Programming Formulation for Global Inference in Natural Language Tasks Roth, Dan; Yih, Wen-tau In: DTIC (2004) BASE Show details 4 High-Order Modeling Techniques for Continuous Speech Recognition. Ostendorf, Mari In: DTIC AND NTIS (1995) BASE Show details 5 A Self-Organizing Neural Network Architecture for Auditory and Speech Perception with Applications to Acoustic and Other Temporal Prediction Problems Grossberg, Stephen; Cohen, Michael In: DTIC AND NTIS (1994) BASE Show details 6 Coherence and Usability of an Environmental Impact Statement Easterly, Jill A. In: DTIC AND NTIS (1994) BASE Show details 7 Word and Subword Modelling in a Segment-Based HMM Word Spotter Using a Data Analytic Approach Marcus, Jeffrey N. In: DTIC AND NTIS (1992) BASE Show details 8 The Effect of Three Variables on Synthetic Speech Intelligibility in Noisy Environments Munlin, Joyce C. In: DTIC AND NTIS (1990) BASE Show details 9 The Kinetic Depth Effect and Identification of Shape Sperling, George; Landy, Michael S.; Dosher, Barbara A.... In: DTIC AND NTIS (1987) BASE Show details

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