Canon Kabushiki Kaisha

Samsung Electronics Co., Ltd.

Idiap Research Institute

Philip Neil Garner

Jason Peter Andrew Charlesworth

Asako Higuchi

Jebu Jacob Rajan

Jae-Won Lee

Nam-Hoon Kim

Jeong-Mi Cho

Petr Motlicek

David Imseng

An apparatus and a method for constructing a multilingual acoustic model, and a computer readable recording medium are provided. The method for constructing a multilingual acoustic model includes dividing an input feature into a common language portion and a distinctive language portion, acquiring a tandem feature by training the divided common language portion and distinctive language portion using a neural network to estimate and remove correlation between phonemes, dividing parameters of an initial acoustic model constructed using the tandem feature into common language parameters and distinctive language parameters, adapting the common language parameters using data of a training language, adapting the distinctive language parameters using data of a target language, and constructing an acoustic model for the target language using the adapted common language parameters and the adapted distinctive language parameters.

Apparatus and method for constructing multilingual acoustic model and computer readable recording medium for storing program for performing the method

An improved and computationally efficient signal processing is provided to estimate and reduce noise in a sampled signal. Hence, a first filter recursive filters a vector in the signal in one direction along the vector, a second filter recursive filters the vector in the opposite direction to the first filter along the vector, and a combining section combines the results of the first and second filters. Coefficients of the first and second filters are dependent on a position in the vector.

Signal processing apparatus and method thereof

A dynamic programming technique is provided for matching two sequences of phonemes both of which may be generated from text or speech. The scoring of the dynamic programming matching technique uses phoneme confusion scores, phoneme insertion scores and phoneme deletion scores which are obtained in advance in a training session and, if appropriate, confidence data generated by a recognition system if the sequences are generated from speech.

Language recognition using a similarity measure

A system is provided for matching two or more sequences of phonemes both or all of which may be generated from text or speech. A dynamic programming matching technique is preferably used having constraints which depend upon whether or not the two sequences are generated from text or speech and in which the scoring of the dynamic programming paths is weighted by phoneme confusion scores, phoneme insertion scores and phoneme deletion scores where appropriate.

Pattern matching method and apparatus

A data structure is provided for annotating data files within a database. The annotation data comprises a phoneme and word lattice which allows the quick and efficient searching of data files within the database in response to a user's input query. The structure of the annotation data is such that it allows the input query to be made by voice and can be used for annotating various kinds of data files, such as audio data files, video data files, multimedia data files etc. The annotation data may be generated from the data files themselves or may be input by the user either from a voiced input or from a typed input.

Database searching and retrieval using phoneme and word lattice

The data structure is used in accessing a plurality of data files. The data stucture comprises a plurality of annotation storage areas adapted to correspond with the data files, each annotation storage area containing an annotation an annotation representing a time sequential signal and each annotation storage area comprising a plurality of block storage areas each containing phoneme and word data forming a respective temporal block of the annotation and each block having an associated time index identifying a timing of the block within the corresponding annotation. Each block storage area includes a plurality of node storage areas, each asociated with a node which represents a point in time at which a word and/or phoneme begins or ends within the corresponding annotation, and each node storage area having a time offset storage area containing a time offset defining the point in time represented by the node relative to the time index associated with the corresponding block. Each node storage area further has one or more phoneme link storage areas, each having a phoneme storage area containing data identifying a phoneme associated with corresponding node; or one or more word link storage areas, each having a word storage area containing data identifying a word associated with the corresponding node. One or more of the node storage areas has at least one of the phoneme link storage areas and at least one of the word link storage areas.

Database annotation and retrieval including phoneme data

A system is provided for comparing an input query with a number of stored annotations to identify information to be retrieved from a database. The comparison technique divides the input query into a number of fixed-size fragments and identifies how many times each of the fragments occurs within each annotation using a dynamic programming matching technique. The frequencies of occurrence of the fragments in both the query and the annotation are then compared to provide a measure of the similarity between the query and the annotation. The information to be retrieved is then determined from the similarity measures obtained for all the annotations.

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Guildford, United Kingdom

Philip Neil Garner