A new approach to isolated word recognition is examined. This approach is based on an extension of vector quantization speech coding, called matrix quantization speech coding, that was developed by Tsao and Gray. In t...
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A new approach to isolated word recognition is examined. This approach is based on an extension of vector quantization speech coding, called matrix quantization speech coding, that was developed by Tsao and Gray. In this new approach, a codebook containing a set of time-ordered-sequences of speech spectra represents each vocabulary word. A word is recognized by encoding it with each codebook and classifying the input word according to the codebook that yields the smallest distortion. On the digits, this approach achieved a speaker independent recognition accuracy greater than 98%. The approach is described, experimental results are presented, and comparisons with vector quantization based approaches are given.
Algebraic operations on m-D(m-Dimensional) polynomials(m ≥ 2) are presented. Especially the addition, multiplication and division of such polynomials are described by means of algorithms in appropriate computational ...
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Algebraic operations on m-D(m-Dimensional) polynomials(m ≥ 2) are presented. Especially the addition, multiplication and division of such polynomials are described by means of algorithms in appropriate computational form.
Maximum likelihood (ML) and minimum relative-entropy (MRE) (minimum cross-entropy) classification of samples from an unknown probability density when the hypotheses comprise an exponential family are considered. It is...
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Maximum likelihood (ML) and minimum relative-entropy (MRE) (minimum cross-entropy) classification of samples from an unknown probability density when the hypotheses comprise an exponential family are considered. It is shown that ML and MRE lead to the same classification nde, and the result is illustrated in terms of a method for estimating covariance matrices recently developed by Burg, Luenberger, and Wenger, MRE classification applies to the general case in which it cannot be assumed that the samples were generated by one of the hypothesis densities. The common use of ML in this case is technically incorrect, but the equivalence of MRE and ML provides a theoretical justification.
In maximum entropy spectral analysis (MESA), one maximizes the integral of \logS(f) , where S(f) is a power spectrum. The resulting spectral estimate, which is equivalent to that obtained by linear prediction and othe...
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In maximum entropy spectral analysis (MESA), one maximizes the integral of \logS(f) , where S(f) is a power spectrum. The resulting spectral estimate, which is equivalent to that obtained by linear prediction and other methods, is popular in speech processing applications. An alternative expression, -S(f)\logS(f) , is used in optical processing and elsewhere. This paper considers whether the alternative expression leads to spectral estimates useful in speech processing. We investigate the question both theoretically and empirically. The theoretical investigation is based on generalizations of file two estimates-the generalizations take into account prior estimates of the unknown power spectrum. It is shown that both estimates result from applying a generalized version of the principle of maximum entropy, but they differ concerning the quantities that are treated as random variables. The empirical investigation is based on speech synthesized using the different spectral estimates. Although both estimates lead to intelligible speech, speech based on the MESA estimate is qualitatively superior.
The difficulties in designing systolic processors can be reduced by applying the architectural transformations of code motion, retiming, slowdown, coalescing, parallel/serial compromises and partitioning to a more eas...
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The use of vector quantization (VQ) in isolated-word recognition of a 20-word vocabulary is examined. A separate sequence of VQ code books is designed for each word in the recognition vocabulary and input words are cl...
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The use of vector quantization (VQ) in isolated-word recognition of a 20-word vocabulary is examined. A separate sequence of VQ code books is designed for each word in the recognition vocabulary and input words are classified by performing VQ and finding the sequence of code books that achieve the smallest average distortion. In this paper, critical parameters are noted and the results of parameter studies are presented.
A new method is presented for estimating the power spectral density matrix for multichannel data, given correlation values for linear combinations of the channels and given an initial estimate of the spectral density ...
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A new method is presented for estimating the power spectral density matrix for multichannel data, given correlation values for linear combinations of the channels and given an initial estimate of the spectral density matrix. A derivation of the method from the relative-entropy principle is given. The results differ significantly from the Multisignal Relative-Entropy ("Minimum-Cross-Entropy") Spectrum Analysis of Johnson and Shore because the present method does not arbitrarily force the final distributions of the various channels to be independent. For the special case when correlation values are given only for the sum of the channels, Multichannel Relative-Entropy Spectrum Analysis is shown to reduce to a two-stage procedure: first a smooth power-spectrum model is fitted to the correlations of the sum; then final estimates of the spectra and cross spectra are obtained through linear filtering. Illustrative numerical examples are presented.
To meet energy conservation goals of the U.S. Navy, its attention has been focused on ways to reduce individual ship total resistance and powering requirements. One possible method of improving ship powering character...
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To meet energy conservation goals of the U.S. Navy, its attention has been focused on ways to reduce individual ship total resistance and powering requirements. One possible method of improving ship powering characteristics is by modifying existing individual ship hulls with the addition of bulbous bows. This paper will identify the merits of retrofitting bow bulbs on selected U.S. Navy auxiliary and amphibious warfare ships. A procedure for performing a cost-benefit analysis will be shown for candidate ship classes. An example of this technique for an amphibious warfare ship will also be provided. A brief discussion of future methods to be used for bulbous bow design such as application of systematic model test data and numerical hydrodynamic techniques will be given.
作者:
VOELKER, RGLEN, IFSEIBOLD, FBAYLY, IRichard Voelker:is Vice President of ARCTEC
Incorporated a firm specializing in cold regions technology. He has been responsible for the management of thePolarClass Traffic-ability Program since its inception and annually participates in the field data collection in the Arctic. His prior experience includes positions with the U.S. Coast Guard in the icebreaker design project the Military Sealift Command and at Newport News Shipbuilding. He is a graduate of N. Y.S. Maritime College and has a MS degree from the University of Michigan. I.F. Glen:received his professional degrees in naval architecture from the Royal Naval Engineering College
Manadon Plymouth and RN College Greenwich London entering the Royal Corps of Naval Constructors in 1967. After serving as a Constructor Lieutenant in the Royal Navy's Far East Fleet for a short period he joined the Polaris submarine project team in Bath England in 1968. In 1971 he was seconded to the Canadian Department of National Defense in Ottawa as a Constructor Lieutenant Commander under NATO exchange arrangements where he had responsibilities initially for conventional submarines and latterly for computer aided conceptual design. He ventured to Bath England in 1974 and joined Forward Design Group. In 1975 he took a position as a civilian engineer in the Canadian Defense Department and was Head of Hull Systems Engineering from 1977 to 1979. He joined ARCTEC CANADA LIMITED in 1980 and in addition to managing ice model testing projects and full scale trials has specialized in structural response of ships to ice impact. He headed ARCTEC's Kanata Laboratory from 1981 to 1983 when he was promoted to president. Frederick Seibold:is a research program manager with the Maritime Administration's Office of Advanced Ship Development and Technology. He is responsible for the marine science program which includes research in the areas of ship powering
structures and propeller performance and Arctic technology. Mr. Seibold has been employed by Mar Ad since 1961 having hel
This paper describes a multiyear program to make an operational assessment on the feasibility of a year-round Arctic marine transportation system to serve Alaska. Specifically, the three objectives were to: collect me...
This paper describes a multiyear program to make an operational assessment on the feasibility of a year-round Arctic marine transportation system to serve Alaska. Specifically, the three objectives were to: collect meteorological and ice data along potential marine routes; instrument the hull and propulsion machinery to improve design critera for ice-worthy ships; and demonstrate that ships can operate in midwinter Alaskan Arctic ice conditions. The U.S. Coast Guard's Polar class icebreakers were used to make the operational assessment by annually extending the route northward and by operating throughout the winter season. This paper reviews some of the operational and technical achievements to date, as well as plans for future Arctic deployments.
The results of a new method are presented for discrete utterance speech recognition. The method is based on rate-distortion speech coding (speech coding by vector quantization), minimum cross-entropy pattern classific...
The results of a new method are presented for discrete utterance speech recognition. The method is based on rate-distortion speech coding (speech coding by vector quantization), minimum cross-entropy pattern classification, and information-theoretic spectral distortion measures. Separate vector quantization code books are designed from training sequences for each word in the recognition vocabulary. Inputs from outside the training sequence are classified by performing vector quantization and finding the code book that achieves the lowest average distortion per speech frame. The new method obviates time alignment. It achieves 99 percent accuracy for speaker-dependent recognition of a 20 -word vocabulary that includes the ten digits, with higher accuracy for recognition of the digit subset. For speaker-independent recognition, the method achieves 88 percent accuracy for the 20 -word vocabulary and 95 percent for the digit subset. Background of the method, detailed empirical results, and an analysis of computational requirements are presented.
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