Advanced Algorithms and Architectures for Speech by Giancarlo Pirani (auth.), Giancarlo Pirani (eds.)

By Giancarlo Pirani (auth.), Giancarlo Pirani (eds.)

This ebook is meant to provide an summary of the most important effects accomplished within the box of normal speech figuring out within ESPRIT venture P. 26, "Advanced Algorithms and Architectures for Speech and photo Processing". The venture all started as a Pilot undertaking within the early level of part 1 of the ESPRIT software introduced via the fee of the eu groups. After twelve months, within the gentle of the initial effects that have been got, it used to be proven for its 5-year length. even if the actions have been performed for either speech and photograph comprehend­ ing we most popular to concentration the remedy of the e-book at the first sector which crystallized normally round the CSELT crew, with the precious cooperation of AEG, Thomson-CSF, and Politecnico di Torino. as a result of the paintings of the 5 years of the venture, the Consortium used to be in a position to enhance a precise and whole knowing approach that is going from a regularly spoken common language sentence to its that means and the ensuing entry to a database. after we all started in 1983 we had a few services in small-vocabulary syntax-driven connected-word speech popularity utilizing Hidden Markov types, in written traditional lan­ guage knowing, and in layout commonly established upon bit-slice microprocessors.

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8: Channel and cepstral variances Two factors affect the quantization noise, and consequently the distortion in the signal representation: the first one is the codebook design that must take into account the statistical distribution of the input vectors, while the second is the choice of the spectral distance. Whenever detailed statistical information about the distribution of input vectors is lacking (as it happens to be in the speech signal case), the codebook can be generated by a training procedure, which requires a speech data-base usually obtained from the pronunciation of a generic text.

As a single label is associated, on the average, with 65% of the micro-segments, even if the best path selection is made at each step t, the results of the matching procedure should not be appreciably affected. In addition, as far as insertion is concerned, only the first label of an inserted micro-segment can be considered, if statistics referring to the insertion costs have been obtained accordingly in the training phase. These hypotheses have been confirmed by the experimental results given in Sect.

Z § :ll lit 30 19 17 15 13 11 '* 9 7 5 3 II. II. 3 PAR. 10: Efficiency of codebooks do no appear in a standard dictionary (for instance jargon words). Hence it is of primary importance for doing research on large vocabulary speech recognition to have an efficient mean for handling the phonetic form of words given their orthographic description. Additionally, the phonetic form must be translated into a recognition-unit form that is the way a word is composed in terms of the choosen recognition units; one can simply use the phones as units, hence the last translation is trivial, but if the researcher wants to take into account more complex coarticulation phenomena and if he wants to experiment with different ways of doing that, he needs to have available a tool for defining new units starting from the phonetic description of words.

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