Status on Speech Recognition in Japan

REFERENCES

• T Sakai & S Doshita, The automatic speech recognition system for convesational sound, IEEE Trans, vol EC-12, p 835, 1963.
   Google Scholar
• F Itakura & S Saito, A statistical method for estimation of speech spectral density and formant frequencies, Electron Commun Japan, vol 53-A, pp 36–43, 1970.
   Web of Science ®Google Scholar
• F Itakura, S Saito, Y Koike, H Sawabe & M Nishikawa, An audio response unit based on partial correlation, IEEE Trans Computer, vol COM-20, pp 792–797, 1972.
   Google Scholar
• Y Tohkura, Experimental comparison of parameter interpolation in LPC vocoders, ASA* 50 Speech Comm Preprint Experiment, pp 373–376, 1979.
   Google Scholar
• H Sakoe & S Chiba, A dynamic programming approach to continuous speech recognition, Proc 7th ICA, 20C13, 1971.
   Google Scholar
• F Itakura, Minimum prediction residual principle applied to speech recognition, IEEE Trans Acoust Speech and Signal Processing, vol ASSP-23, pp 67–72, 1975.
   Google Scholar
• AH Gray, Jr, & JD Markel, Distance measures for speech processing, IEEE Trans Acoust Speech and Signal Processing, vol ASSP-24, pp 380–391, 1976.
   Google Scholar
• K Shikano & M Sugiyama, Evaluation of LPC spectral matching measures for spoken word recognition, IECE Trans, vol J65-D, pp 532–544, 1982.
   Google Scholar
• T Nakajima, T Suzuki & H Ohmura, Non-steady state speech analysis method with dynamic feature enhancing effect, Proc ICASSP-82, pp 1299–1302, 1982.
   Google Scholar
• Y Grenier, Time-dependent ARMA modelling of non-stationary signal, IEEE Trans Acoust Speech and Signal Processing, vol ASSP-31, pp 899–911, 1983.
   Google Scholar
• S Makino, T Kawabata & K Kido, Recognition of consonant based on the perceptron model, Proc ICASSP-83, pp 738–741, 1983.
   Google Scholar
• H Fujisaki & M Tominaga, Automatic recognition of voiced consonants in CV and VCV utterances, Proc ICASSP-82, pp 1996–1999, 1982.
   Google Scholar
• PC Delattre, AM Liberman & FS Cooper, Acoustic loci and transitional cues for consonants, J Acoust Soc Am, vol 27, pp 769–773, 1955.
   Web of Science ®Google Scholar
• Y Yamashita et al, Discrimination of voiced plosive based on transition characteristics of LPC cepstrum parameters, Proc WESTPAC-II, pp 348–353, 1985.
   Google Scholar
• Y Kobayashi, Y Ohmori & Y Niimi, Recognition of vowels in continuous speech based on the dynamic characteristics of WLR distance trajectories, J Acoust Soc Jpn, vol E-7, pp 29–38, 1986.
   Google Scholar
• K Shirai, Vowel identification in continuous speech using arti-culatory parameter, Proc ICASSP-81, pp 1172–1175, 1981.
   Google Scholar
• Y Ariki, K Kajimoto & T Sakai, Acoustic noise reduction by two dimensional spectral smoothing and spectral amplitude transformations, Proc ICASSP-86, pp 97–100, 1986.
   Google Scholar
• H Matsumolo & H Imai, Comparative study of various spectrum matching measures on noise robustness, Proc ICASSP-86, p 769, 1986.
   Google Scholar
• T Watanabe, Syllable recognition for continuous Japanese speech recognition, Proc ICASSP-86, pp 2295–2298, 1986.
   Google Scholar
• K Aikawa, M Sugiyama & K Shikano, Spoken word recognition based on top-down phoneme recognition, IECEJ Trans, vol J67-D, pp 693–700, 1984.
   Google Scholar
• R Mizoguchi, K Tsujino & O Kakusho, A continuous speech recognition system based on knowledge engineering techniques, Proc ICASSP-86, pp 1221–1224, 1986.
   Google Scholar
• H Sakoe & S Chiba, Dynamic programming algorithm optimization for spoken word recognition, IEEE Trans Acoust Speech and Signal Processing, vol ASSP-26, pp 43–49, 1978.
   Google Scholar
• H Sakoe, Two level DP-matching—A Dynamic programming-based pattern matching algorithm for connected word recognition, IEEE Trans Acoust Speech and Signal Processing, vol ASSP-27. pp 588–595, 1979.
   Google Scholar
• CS Myers & LR Rabiner, A level building dynamic time warping algorithm for connected word recognition, IEEE Trans Acoust Speech and Signal Processing, vol ASSP-29, pp 284–297, 1981.
   Google Scholar
• H Sakoe, A generalized two-level DP-matching algorithm for continuous speech recognition, IECEJ Trans, vol E-65, pp 649–656, 1982.
   Google Scholar
• H Sakoe & M Watari, Clockwise propagating DP-matching algorithm for word recognition, Trans Committee on Speech Research, Acoust Soc Jpn, S 81–65, 1981.
   Google Scholar
• S Nakagawa, A connected spoken word recognition method by O(n) dynamic programming pattern matching algorithm, Proc ICASSP-83, pp 296–299, 1983.
   Google Scholar
• N Sugamura & S Furui, Large vocabulary word recognition using pseudo-phoneme templates, IECEJ Trans, vol J65-D, pp 104–1048, 1982.
   Google Scholar
• AF Bergh, FK Soong & LR Rabiner, Incorporation of temporal structure into a vector-quantization based preprocessor for speaker-independent, isolated-word recognition, AT&T Tech J, vol 64, pp 1047–1063, 1985.
   Web of Science ®Google Scholar
• S Furui, A VQ-based preprocessor using cepstral dynamic features for large vocabulary word recognition, Proc ICASSP-81, pp 1127–1130, 1987.
   Google Scholar
• LR Rabiner, SE Levinson & AE Rosenberg, Speaker-independent recognition of isolated words using clustering techniques, IEEE Trans Acuost Speech, and Signal Processing, vol ASSP-27, pp 336–349, 1979.
   Google Scholar
• LR Rabiner, SE Levinson & MM Sondi, On the application of vector quantization and hidden Markov models to speaker-independent, isolated word recognition, The Belt Syst Tech J, vol 62, pp 1035–1074, 1983.
   Google Scholar
• Y Niimi & Y Kobayashi, Speaker adaptation using monosyllables, Reports of the 1986 Fall Meeting, Acoust Soc Jpn, pp 41–42, 1986.
   Google Scholar
• Y Niimi & Y Kobayashi, Speaker-adaptation of a code book of vector quantization, Proc European Conf Speech Tech, 1987
   Google Scholar
• K Shikano, KF Lee & R Reddy, Speaker adaptation through vector quantization, Proc ICASSP-86, pp 2643–2646, 1986.
   Google Scholar
• PJ Hayes et al, Parsing spoken language: A semantic caseframc approach, Proc 11th Int Conf Computational Linguistics, pp 587–592, 1986.
   Google Scholar
• Y Sekiguchi & M Shigenaga, On semantic information in a speech recognition system for Japanese sentences, IECEJ Trans, vol J66-D, pp 629–636, 1983.
   Google Scholar
• Y Niimi, S Uzuhara & Y Kobayashi, The procedure to construct a word predictor in a speech understanding system from a task-specific grammar defined in a CFG or a DCG, Proc 11th Int Conf Computational Linguistics, pp 605–607, 1986.
   Google Scholar
• K Ozeki, A multi-stage decision algorithm for optimization Bun-setsu sequence selection, Trans Tech Committee on Speech Processing, IEICEJ, SP86-27, 1986.
   Google Scholar