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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 Page: 1 2 Hits 1 – 20 of 24 1 A Hybrid Segmental Neural Net/Hidden Markov Model System for Continuous Speech Recognition Zavaliagkos, G; Zhao, Y; Schwartz, R... In: Institute of Electrical and Electronics Engineers. IEEE transactions on speech and audio processing. - New York, NY : Inst. 2 (1994) 1, 151-160 OLC Linguistik Show details 2 On Using Written Language Training Data for Spoken Language Modeling Schwartz, R.; Nguyen, L.; Kubala, F.... In: DTIC (1994) BASE Show details 3 Robust Continuous Speech Recognition. Makhoul, J.; Schwartz, R. In: DTIC AND NTIS (1994) BASE Show details 4 Usable, Real-Time, Interactive Spoken Language Systems Makhoul, J.; Bates, M. In: DTIC AND NTIS (1994) BASE Show details 5 Development of a Spoken Language System Austin, S.; Ayuso, D.; Barry, C.... In: DTIC AND NTIS (1992) BASE Show details 6 BBN HARC and DELPHI Results on the ATIS Benchmarks - February 1991 Austin, S.; Ayuso, D.; Bates, M.... In: DTIC (1991) BASE Show details 7 Continuous Speech Recognition Using Segmental Neural Nets Austin, S.; Makhoul, J.; Schwartz, R.; Zavaliagkos, G. In: DTIC (1991) Abstract: We present the concept of a "Segmental Neural Net" (SNN) for phonetic modeling in continuous speech recognition. The SNN takes as input all the frames of a phonetic segment and gives as output an estimate of the probability of each of the phonemes, given the input segment. By tak- ing into account all the frames of a phonetic seg- ment simultaneously, the SNN overcomes the well- known conditional-independence limitation of hid- den Markov models (HMM). However, the prob- lem of automatic segmentation with neural nets is a formidable computing task compared to HMMs. Therefore, to take advantage of the training and decoding speed of HMMs, we have developed a novel hybrid SNN/HMM system that combines the advantages of both types of approaches. In this hy- brid system, use is made of the N-best paradigm to generate likely phonetic segmentations, which are then scored by the SNN. The HMM and SNN scores are then combined to optimize performance. In this manner, the recognition accuracy is guaran- teed to be no worse than the HMM system alone. Keyword: *SPEECH RECOGNITION; HMM(HIDDEN MARKOV MODELS); MARKOV PROCESSES; MATHEMATICAL MODELS; NEURAL NETS; PHONETICS; SEGMENTED; SNN(SEGMENTAL NEURAL NET); Voice Communications URL: http://www.dtic.mil/docs/citations/ADA460342 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460342 BASE Hide details 8 Byblos Speech Recognition Benchmark Results Kubala, F.; Austin, S.; Barry, C.... In: DTIC (1991) BASE Show details 9 Systems Kimball, O.A. (Mitarb.); Krasner, M.A. (Mitarb.); Kubala, G.F. (Mitarb.)... In: Readings in speech recognition. - San Mateo, Calif. : Kaufmann (1990), 551-618 BLLDB Show details 10 Improvements in the BYBLOS Continuous Speech Recognition System Schwartz, R.; Austin, S.; Barry, C.... In: DTIC AND NTIS (1990) BASE Show details 11 Acoustic-phonetic decoding of speech Schwartz, R.M.; Chow, Y.; Dunham, M.... In: Recent advances in speech understanding and dialog systems (Berlin [etc.], 1988), P.25-50 MPI für Psycholinguistik Show details 12 Speech Communication Stevens, Kenneth N.; Allen, Jonathan; Halle, Morris. - : Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT), 1987 BASE Show details 13 Research in Continuous Speech Recognition Schwartz, R; Chow, Y L; Kimball, O... In: DTIC AND NTIS (1984) BASE Show details 14 Research in Continuous Speech Recognition. Schwartz,R M; Chow,Y L; Makhoul,J In: DTIC AND NTIS (1983) BASE Show details 15 Medium and low bit rate speech transmission Viswanathan, Vishu R.; Makhoul, J.; Schwartz, Richard In: Automatic speech analysis and recognition (Dordrecht, 1982), p. 21-48 MPI für Psycholinguistik Show details 16 Speech Compression and Synthesis. Berouti,M; Klovstad,J; Makhoul,J... In: DTIC AND NTIS (1979) BASE Show details 17 Speech Compression and Synthesis Berouti, M; Klovstad, J; Makhoul, J... In: DTIC AND NTIS (1979) BASE Show details 18 Speech Compression and Synthesis Cosell, L; Huggins, A W F; Klovstad, J... In: DTIC AND NTIS (1979) BASE Show details 19 Speech Compression and Synthesis Makhoul, J; Viswanathan, R In: DTIC AND NTIS (1978) BASE Show details 20 Speech Compression and Synthesis Wolf, J; Klovstad, J; Schwartz, R... In: DTIC AND NTIS (1978) BASE Show details Page: 1 2

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