Patents by Inventor Jebu Jacob Rajan
Jebu Jacob Rajan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 7337116Abstract: A system is provided for allowing a user to add word models to a speech recognition system. In particular, the system allows a user to input a number of renditions of the new word and which generates from these a sequence of phonemes representative of the new word. This representative sequence of phonemes is stored in a word to phoneme dictionary together with the typed version of the word for subsequent use by the speech recognition system.Type: GrantFiled: November 5, 2001Date of Patent: February 26, 2008Assignee: Canon Kabushiki KaishaInventors: Jason Peter Andrew Charlesworth, Jebu Jacob Rajan
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Patent number: 7257533Abstract: 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.Type: GrantFiled: September 22, 2005Date of Patent: August 14, 2007Assignee: Canon Kabushiki KaishaInventors: Jason Peter Andrew Charlesworth, Philip Neil Garner, Jebu Jacob Rajan
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Patent number: 7171007Abstract: A signal processing system is provided which receives signals from a number of different sensors which are representative of signals generated from a plurality of sources. The sensed signals are processed to determine the relative position of each of the sources relative to the sensors. This information is then used to separate the signals from each of the sources. The system can be used, for example, to separate the speech signal generated from a number of users in a meeting.Type: GrantFiled: February 4, 2002Date of Patent: January 30, 2007Assignee: Canon Kabushiki KaishaInventor: Jebu Jacob Rajan
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Patent number: 7117157Abstract: Image data from cameras showing movement of a number of people, and sound data, is archived and processed to determine the position and orientation of each person's head and to determine at whom each person is looking. The speaker is determined by determining at which person most people are looking. Alternatively, the sound data is processed to determine the direction from which the sound came, and it is determined who is speaking by determining which person's head is in a position corresponding to the direction from which the sound came. The personal speech recognition parameters for the speaker are selected and used to convert the sound data to text data. Image data to be archived is chosen by selecting the camera which best shows the speaker and the participant to whom he is speaking. Data is stored in a meeting archive database.Type: GrantFiled: March 22, 2000Date of Patent: October 3, 2006Assignee: Canon Kabushiki KaishaInventors: Michael James Taylor, Simon Michael Rowe, Jebu Jacob Rajan
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Patent number: 7072833Abstract: A system is provided for detecting the presence of speech within an input audio signal. The system includes a memory for storing a predetermined function which gives, for a given set of audio signal values, a probability density for parameters of a predetermined speech model which is assumed to have generated the set of audio signal values, the probability density defining, for a given set of model parameter values, the probability that the predetermined speech model has those parameter values given that the speech model is assumed to have generated the set of audio signal values. The system applies a current set of received signal values to the stored probability density function and then draws samples from it using a Gibbs sampler. The system then analyses the samples to determine a set parameter values representative of the audio signal. The system then uses these parameter values to determine whether or not speech is present within the audio signals.Type: GrantFiled: May 30, 2001Date of Patent: July 4, 2006Assignee: Canon Kabushiki KaishaInventor: Jebu Jacob Rajan
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Patent number: 7035790Abstract: A speech processing system is provided which is operable to receive sets of signal values representative of a speech signal generated by a speech source as distorted by a transmission channel between the speech source and the speech processing system. The system stores data defining a predetermined function derived from a signal model which models both the speech source and the channel and defining a probability density function which gives, for a given set of model parameters, the probability that the signal model has those model parameters given that the signal model is assumed to have generated the received set of signal values. The system applies a current set of received signal values to the stored probability density function and then draws samples from it using a Gibbs sampler. The system then analyses the samples to determine a set of parameter values representative of the speech signal before it was distorted by the channel.Type: GrantFiled: May 30, 2001Date of Patent: April 25, 2006Assignee: Canon Kabushiki KaishaInventor: Jebu Jacob Rajan
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Patent number: 7010483Abstract: A speech processing system is provided which is operable to receive sets of signal values representative of a speech signal generated by a speech source. The system is operable to determine a measure of the quality of the speech signal by performing a statistical analysis of the received sets of signal values. The system stores data defining a predetermined function derived from a signal model which models the speech source and which defines a probability density function which gives, for a given set of model parameters, the probability that the signal model has those model parameters given that the signal model is assumed to have generated the received set of signal values. The system applies a current set of received signal values to the stored probability density function and then draws samples from it using a Gibbs sampler.Type: GrantFiled: May 30, 2001Date of Patent: March 7, 2006Assignee: Canon Kabushiki KaishaInventor: Jebu Jacob Rajan
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Patent number: 6990448Abstract: 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.Type: GrantFiled: August 23, 2001Date of Patent: January 24, 2006Assignee: Canon Kabushiki KaishaInventors: Jason Peter Andrew Charlesworth, Philip Neil Garner, Jebu Jacob Rajan
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Publication number: 20060015339Abstract: 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.Type: ApplicationFiled: September 22, 2005Publication date: January 19, 2006Applicant: Canon Kabushiki KaishaInventors: Jason Charlesworth, Philip Garner, Jebu Jacob Rajan
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Patent number: 6954745Abstract: A signal processing system is provided which includes one or more receivers for receiving signals generated by a plurality of signal sources. The system has a memory for storing a predetermined function which gives, for a set of input signal values, a probability density for parameters of a respective signal model which is assumed to have generated the signals in the received signal values. The system applies a set of received signal values to the stored function to generate the probability density function and then draws samples from it. The system then analyses the drawn samples to determine parameter values representative of the signal from at least one of the sources.Type: GrantFiled: May 30, 2001Date of Patent: October 11, 2005Assignee: Canon Kabushiki KaishaInventor: Jebu Jacob Rajan
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Publication number: 20020198704Abstract: A speech detection system is described which uses a time series noise model to represent audio signals corresponding to noise. The system compares incoming audio signals with the noise model and determines the beginning or end of speech in the audio signal depending on how well the input audio compares to the noise model.Type: ApplicationFiled: May 31, 2002Publication date: December 26, 2002Applicant: CANON KABUSHIKI KAISHAInventors: Jebu Jacob Rajan, Jason Peter Andrew Charlesworth
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Publication number: 20020150263Abstract: A signal processing system is provided which receives signals from a number of different sensors which are representative of signals generated from a plurality of sources. The sensed signals are processed to determine the relative position of each of the sources relative to the sensors. This information is then used to separate the signals from each of the sources. The system can be used, for example, to separate the speech signal generated from a number of users in a meeting.Type: ApplicationFiled: February 4, 2002Publication date: October 17, 2002Applicant: Canon Kabushiki KaishaInventor: Jebu Jacob Rajan
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Publication number: 20020120447Abstract: A system is provided for allowing a user to add word models to a speech recognition system. In particular, the system allows a user to input a number of renditions of the new word and which generates from these a sequence of phonemes representative of the new word. This representative sequence of phonemes is stored in a word to phoneme dictionary together with the typed version of the word for subsequent use by the speech recognition system.Type: ApplicationFiled: November 5, 2001Publication date: August 29, 2002Inventors: Jason Peter Andrew Charlesworth, Jebu Jacob Rajan
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Publication number: 20020059065Abstract: A speech processing system is provided which is operable to receive sets of signal values representative of a speech signal generated by a speech source as distorted by a transmission channel between the speech source and the speech processing system. The system stores data defining a predetermined function derived from a signal model which models both the speech source and the channel and defining a probability density function which gives, for a given set of model parameters, the probability that the signal model has those model parameters given that the signal model is assumed to have generated the received set of signal values. The system applies a current set of received signal values to the stored probability density function and then draws samples from it using a Gibbs sampler. The system then analyses the samples to determine a set of parameter values representative of the speech signal before it was distorted by the channel.Type: ApplicationFiled: May 30, 2001Publication date: May 16, 2002Inventor: Jebu Jacob Rajan
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Publication number: 20020055913Abstract: A signal processing system is provided which includes one or more receivers for receiving signals generated by a plurality of signal sources. The system has a memory for storing a predetermined function which gives, for a set of input signal values, a probability density for parameters of a respective signal model which is assumed to have generated the signals in the received signal values. The system applies a set of received signal values to the stored function to generate the probability density function and then draws samples from it. The system then analyses the drawn samples to determine parameter values representative of the signal from at least one of the sources.Type: ApplicationFiled: May 30, 2001Publication date: May 9, 2002Inventor: Jebu Jacob Rajan
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Publication number: 20020052740Abstract: 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.Type: ApplicationFiled: August 23, 2001Publication date: May 2, 2002Inventors: Jason Peter Andrew Charlesworth, Philip Neil Garner, Jebu Jacob Rajan
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Publication number: 20020038211Abstract: A system is provided for detecting the presence of speech within an input audio signal. The system includes a memory for storing a predetermined function which gives, for a given set of audio signal values, a probability density for parameters of a predetermined speech model which is assumed to have generated the set of audio signal values, the probability density defining, for a given set of model parameter values, the probability that the predetermined speech model has those parameter values given that the speech model is assumed to have generated the set of audio signal values. The system applies a current set of received signal values to the stored probability density function and then draws samples from it using a Gibbs sampler. The system then analyses the samples to determine a set parameter values representative of the audio signal. The system then uses these parameter values to determine whether or not speech is present within the audio signals.Type: ApplicationFiled: May 30, 2001Publication date: March 28, 2002Inventor: Jebu Jacob Rajan
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Publication number: 20020026309Abstract: A speech processing system is provided which is operable to receive sets of signal values representative of a speech signal generated by a speech source. The system is operable to determine a measure of the quality of the speech signal by performing a statistical analysis of the received sets of signal values. The system stores data defining a predetermined function derived from a signal model which models the speech source and which defines a probability density function which gives, for a given set of model parameters, the probability that the signal model has those model parameters given that the signal model is assumed to have generated the received set of signal values. The system applies a current set of received signal values to the stored probability density function and then draws samples from it using a Gibbs sampler.Type: ApplicationFiled: May 30, 2001Publication date: February 28, 2002Inventor: Jebu Jacob Rajan
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Publication number: 20020026253Abstract: An audio transmission system is provided which is operable to receive sets of signals representative of a speech signal generated by a speech source. The system is operable to determine parameters representative of each of the sets of signal values, to encode these parameter values and then to transmit these parameter values to a receiver circuit. At the receiver, the encoded parameters are decoded to recover the parameter values. The recovered parameter values may then be used to resynthesise the speech using a speech synthesiser or they may be used by a speech recognition system to generate a recognition result.Type: ApplicationFiled: May 30, 2001Publication date: February 28, 2002Inventor: Jebu Jacob Rajan