Results 261 to 270 of about 548,043 (300)

Pattern Recognition for Speech Detection

2013
The supervised pattern recognition techniques such as back-propagation neural network (BPNN), support vector machine (SVM), hidden Markov model (HMM), and Gaussian mixture model (GMM) that are used to design the classifier for speech and speaker detection are described in this chapter.
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Speech pattern recognition using pattern recognizers and classifiers

The Journal of the Acoustical Society of America, 1999
An apparatus for recognizing predetermined patterns comprises an input for signal data; a pattern matching stage including a plurality of stores, each storing a representation of a pattern to be recognized; a similarity measurer for producing, for each representation, a measure of the similarity between the signal data and that representation; and a ...
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Speech recognition processors using fuzzy pattern matching

Proceedings of the IEEE 1988 Custom Integrated Circuits Conference, 2003
A set of LSIs for speech recognition using binary time spectrum pattern (BTSP) and pattern matching based on fuzzy theory (fuzzy pattern matching) is described. The set offers both speaker-dependent and -independent voice-recognition capabilities by changing the external program ROM.
T. Ariyoshi, S. Kuriki, T. Kawamoto, S. Yasuda   +3 more
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Speech quality assessment using expert pattern recognition

Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 1989
A technique is described for processing objective parameters to obtain voice quality assessment. The method combines statistical pattern recognition (SPR) techniques with a knowledge-based expert system. The SPR module uses optimally selected voice parameters to form a purely statistical assessment of voice quality.
R.F. Kubichek, E.A. Quincy, K.L. Kiser
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Temporal pattern discrimination and speech recognition under electrical stimulation

The Journal of the Acoustical Society of America, 1994
Discrimination of temporal patterns has been suggested as a relevant process in speech recognition by subjects with normal hearing [Sorkin, J. Acoust. Soc. Am. 87, 1695–1701 (1990)]. This paper investigates whether performance of Nucleus multichannel cochlear implant subjects on a temporal pattern discrimination task is an efficient and valid ...
L M, Collins, G H, Wakefield, G R, Feinman   +2 more
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Automatic Recognition of Phonetic Patterns in Speech

The Journal of the Acoustical Society of America, 1958
The mechanical recognition of ten spoken words (the digits) with near-perfect precision has been demonstrated under laboratory conditions for a single talker after optimum circuit adjustment for his voice. Such word recognition points to the possibility of automatic voice writing and other voice-controlled operations.
Homer Dudley, S. Balashek
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A pattern classification technique for speech recognition

IEEE Transactions on Audio and Electroacoustics, 1971
A description is given of an unusual pattern recognition technique which has been used in an experimental speech recognition system. Preliminary results obtained using this technique are reported. The speech analyzer produces a multichannel ternary signal at its output, which is the short term digital autocorrelation function of the input signal.
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SPEECH COMMAND RECOGNITION IN COMPUTER: PATTERN RECOGNITION METHOD

Bu çalışmada, Örüntü tanıma yöntemini kullanarak ses tanıyan bir bilgisayar yazılımı hazırlanmış ve ses tanımayla ilgili temel ilkeler sistematik bir içerikte anlatılmıştır. Sesli komutları tanımada çok önemli olan özellik vektörlerinin çıkarılması ve ses üzerinde yapılacak olan ön işlemler ayrıntılı bir şekilde verilmeye çalışılmıştır.
BÜLBÜL, Halil İbrahim, KARACI, Abdulkadir   +1 more
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Explicit pattern recognition models for speech perception

The Journal of the Acoustical Society of America, 2003
Optimal statistical classification of arbitrary input signals can be obtained, in principle, via a Bayesian classifier, given (perfect) knowledge of the distributions of signal properties for the set of target categories. At least for certain constrained problems, such as the perception of isolated vowels, simple (imperfect) statistical pattern ...
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Speech recognition using syllable patterns

7th International Conference on Spoken Language Processing (ICSLP 2002), 2002
Li Zhang, William H. Edmondson
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