Patents by Inventor Murat Saraclar
Murat Saraclar 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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Publication number: 20240061874Abstract: A summarization performance evaluation method, and a summarization system sensitive to text categorization using the evaluation method is provided. The summarization system includes a database for storing the text to be summarized, a learning module which performs learning with machine learning in order to identify the categories and extract the summary of the text uploaded to the database, a categorization unit which identifies the categories of the text as a result of machine learning of the learning module, and is provided in the learning module, a sentence unit which summarizes the text as a result of machine learning of the learning module, and is provided in the learning module, a text summarization performance evaluation module for comparing the topic scores.Type: ApplicationFiled: December 2, 2021Publication date: February 22, 2024Applicant: SESTEK SES VE ILETISIM BILGISAYAR TEK.SAN.TIC.A.S.Inventors: Mustafa Levent ARSLAN, Murat SARACLAR, Mustafa ERDEN, Abdullah Samil GUSER
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Publication number: 20180253490Abstract: A system and method are disclosed for retrieving audio segments from a spoken document. The spoken document preferably is one having moderate word error rates such as telephone calls or teleconferences. The method comprises converting speech associated with a spoken document into a lattice representation and indexing the lattice representation of speech. These steps are performed typically off-line. Upon receiving a query from a user, the method further comprises searching the indexed lattice representation of speech and returning retrieved audio segments from the spoken document that match the user query.Type: ApplicationFiled: May 7, 2018Publication date: September 6, 2018Inventors: Murat Saraclar, Richard William Sproat
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Patent number: 9965552Abstract: A system and method are disclosed for retrieving audio segments from a spoken document. The spoken document preferably is one having moderate word error rates such as telephone calls or teleconferences. The method comprises converting speech associated with a spoken document into a lattice representation and indexing the lattice representation of speech. These steps are performed typically off-line. Upon receiving a query from a user, the method further comprises searching the indexed lattice representation of speech and returning retrieved audio segments from the spoken document that match the user query.Type: GrantFiled: February 29, 2016Date of Patent: May 8, 2018Assignee: Nuance Communications, Inc.Inventors: Murat Saraclar, Richard William Sproat
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Patent number: 9569333Abstract: A method and system for processing recorded communications over a network provides a communication via a network to a recording server adapted for hosting a recordable meeting. The recording server includes a processor with a memory and communicates with the network and an identification code is provided for the recordable meeting along with text related to the communication, which is stored in data storage of the recording server. At least one pointer can be inserted during or after the meeting is recorded, forming a recorded meeting with at least one pointer mapped to the text of the recorded meeting. The recorded meeting with at least one pointer is then saved into the data storage that can be accessed by an interested user.Type: GrantFiled: October 25, 2005Date of Patent: February 14, 2017Assignee: AT&T Intellectual Property II, L.P.Inventors: David Crawford Gibbon, Lee Begeja, Karrie Hanson, Zhu Liu, Bernard S. Renger, Murat Saraclar, Behzad Shahraray
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Publication number: 20160179947Abstract: A system and method are disclosed for retrieving audio segments from a spoken document. The spoken document preferably is one having moderate word error rates such as telephone calls or teleconferences. The method comprises converting speech associated with a spoken document into a lattice representation and indexing the lattice representation of speech. These steps are performed typically off-line. Upon receiving a query from a user, the method further comprises searching the indexed lattice representation of speech and returning retrieved audio segments from the spoken document that match the user query.Type: ApplicationFiled: February 29, 2016Publication date: June 23, 2016Inventors: Murat SARACLAR, Richard William SPROAT
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Patent number: 9292489Abstract: An automatic speech recognition (ASR) system and method are provided for using sub-lexical language models together with word level pronunciation lexicons. These approaches operate by introducing a transduction between sequences of sub-lexical units and sequences of words.Type: GrantFiled: April 3, 2013Date of Patent: March 22, 2016Assignee: Google Inc.Inventors: Hasim Sak, Murat Saraclar
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Patent number: 9286890Abstract: A system and method are disclosed for retrieving audio segments from a spoken document. The spoken document preferably is one having moderate word error rates such as telephone calls or teleconferences. The method comprises converting speech associated with a spoken document into a lattice representation and indexing the lattice representation of speech. These steps are performed typically off-line. Upon receiving a query from a user, the method further comprises searching the indexed lattice representation of speech and returning retrieved audio segments from the spoken document that match the user query.Type: GrantFiled: March 7, 2014Date of Patent: March 15, 2016Assignee: AT&T Intellectual Property II, L.P.Inventors: Murat Saraclar, Richard William Sproat
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Patent number: 9165555Abstract: A method and system for training an automatic speech recognition system are provided. The method includes separating training data into speaker specific segments, and for each speaker specific segment, performing the following acts: generating spectral data, selecting a first warping factor and warping the spectral data, and comparing the warped spectral data with a speech model. The method also includes iteratively performing the steps of selecting another warping factor and generating another warped spectral data, comparing the other warped spectral data with the speech model, and if the other warping factor produces a closer match to the speech model, saving the other warping factor as the best warping factor for the speaker specific segment. The system includes modules configured to control a processor in the system to perform the steps of the method.Type: GrantFiled: November 26, 2014Date of Patent: October 20, 2015Assignee: AT&T Intellectual Property II, L.P.Inventors: Vincent Goffin, Andrej Ljolje, Murat Saraclar
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Publication number: 20150088498Abstract: A method and system for training an automatic speech recognition system are provided. The method includes separating training data into speaker specific segments, and for each speaker specific segment, performing the following acts: generating spectral data, selecting a first warping factor and warping the spectral data, and comparing the warped spectral data with a speech model. The method also includes iteratively performing the steps of selecting another warping factor and generating another warped spectral data, comparing the other warped spectral data with the speech model, and if the other warping factor produces a closer match to the speech model, saving the other warping factor as the best warping factor for the speaker specific segment. The system includes modules configured to control a processor in the system to perform the steps of the method.Type: ApplicationFiled: November 26, 2014Publication date: March 26, 2015Inventors: Vincent GOFFIN, Andrej LJOLJE, Murat Saraclar
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Patent number: 8909527Abstract: A method and system for training an automatic speech recognition system are provided. The method includes separating training data into speaker specific segments, and for each speaker specific segment, performing the following acts: generating spectral data, selecting a first warping factor and warping the spectral data, and comparing the warped spectral data with a speech model. The method also includes iteratively performing the steps of selecting another warping factor and generating another warped spectral data, comparing the other warped spectral data with the speech model, and if the other warping factor produces a closer match to the speech model, saving the other warping factor as the best warping factor for the speaker specific segment. The system includes modules configured to control a processor in the system to perform the steps of the method.Type: GrantFiled: June 24, 2009Date of Patent: December 9, 2014Assignee: AT&T Intellectual Property II, L.P.Inventors: Vincent Goffin, Andrej Ljolje, Murat Saraclar
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Publication number: 20140188474Abstract: A system and method are disclosed for retrieving audio segments from a spoken document. The spoken document preferably is one having moderate word error rates such as telephone calls or teleconferences. The method comprises converting speech associated with a spoken document into a lattice representation and indexing the lattice representation of speech. These steps are performed typically off-line. Upon receiving a query from a user, the method further comprises searching the indexed lattice representation of speech and returning retrieved audio segments from the spoken document that match the user query.Type: ApplicationFiled: March 7, 2014Publication date: July 3, 2014Applicant: AT&T Intellectual Property II, LPInventors: Murat Saraclar, Richard William Sproat
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Patent number: 8670977Abstract: A system and method are disclosed for retrieving audio segments from a spoken document. The spoken document preferably is one having moderate word error rates such as telephone calls or teleconferences. The method comprises converting speech associated with a spoken document into a lattice representation and indexing the lattice representation of speech. These steps are performed typically off-line. Upon receiving a query from a user, the method further comprises searching the indexed lattice representation of speech and returning retrieved audio segments from the spoken document that match the user query.Type: GrantFiled: March 21, 2011Date of Patent: March 11, 2014Assignee: AT&T Intellectual Property II, L.P.Inventors: Murat Saraclar, Richard William Sproat
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Publication number: 20110173226Abstract: A system and method are disclosed for retrieving audio segments from a spoken document. The spoken document preferably is one having moderate word error rates such as telephone calls or teleconferences. The method comprises converting speech associated with a spoken document into a lattice representation and indexing the lattice representation of speech. These steps are performed typically off-line. Upon receiving a query from a user, the method further comprises searching the indexed lattice representation of speech and returning retrieved audio segments from the spoken document that match the user query.Type: ApplicationFiled: March 21, 2011Publication date: July 14, 2011Applicant: AT&T Corp.Inventors: Murat Saraclar, Richard William Sprout
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Patent number: 7941317Abstract: Systems and methods for low-latency real-time speech recognition/transcription. A discriminative feature extraction, such as a heteroscedastic discriminant analysis transform, in combination with a maximum likelihood linear transform is applied during front-end processing of a digital speech signal. The extracted features reduce the word error rate. A discriminative acoustic model is applied by generating state-level lattices using Maximum Mutual Information Estimation. Recognition networks of language models are replaced by their closure. Latency is reduced by eliminating segmentation such that a number of words/sentences can be recognized as a single utterance. Latency is further reduced by performing front-end normalization in a causal fashion.Type: GrantFiled: June 5, 2007Date of Patent: May 10, 2011Assignee: AT&T Intellectual Property II, L.P.Inventors: Vincent Goffin, Michael Dennis Riley, Murat Saraclar
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Patent number: 7930181Abstract: Systems and methods for low-latency real-time speech recognition/transcription. A discriminative feature extraction, such as a heteroscedastic discriminant analysis transform, in combination with a maximum likelihood linear transform is applied during front-end processing of a digital speech signal. The extracted features reduce the word error rate. A discriminative acoustic model is applied by generating state-level lattices using Maximum Mutual Information Estimation. Recognition networks of language models are replaced by their closure. Latency is reduced by eliminating segmentation such that a number of words/sentences can be recognized as a single utterance. Latency is further reduced by performing front-end normalization in a causal fashion.Type: GrantFiled: November 21, 2002Date of Patent: April 19, 2011Assignee: AT&T Intellectual Property II, L.P.Inventors: Vincent Goffin, Michael Dennis Riley, Murat Saraclar
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Patent number: 7912699Abstract: A system and method are disclosed for retrieving audio segments from a spoken document. The spoken document preferably is one having moderate word error rates such as telephone calls or teleconferences. The method comprises converting speech associated with a spoken document into a lattice representation and indexing the lattice representation of speech. These steps are performed typically off-line. Upon receiving a query from a user, the method further comprises searching the indexed lattice representation of speech and returning retrieved audio segments from the spoken document that match the user query.Type: GrantFiled: August 23, 2004Date of Patent: March 22, 2011Assignee: AT&T Intellectual Property II, L.P.Inventors: Murat Saraclar, Richard William Sproat
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Publication number: 20090259465Abstract: A method and system for training an automatic speech recognition system are provided. The method includes separating training data into speaker specific segments, and for each speaker specific segment, performing the following acts: generating spectral data, selecting a first warping factor and warping the spectral data, and comparing the warped spectral data with a speech model. The method also includes iteratively performing the steps of selecting another warping factor and generating another warped spectral data, comparing the other warped spectral data with the speech model, and if the other warping factor produces a closer match to the speech model, saving the other warping factor as the best warping factor for the speaker specific segment. The system includes modules configured to control a processor in the system to perform the steps of the method.Type: ApplicationFiled: June 24, 2009Publication date: October 15, 2009Applicant: AT&T Corp.Inventors: Vincent Goffin, Andrej Ljolje, Murat Saraclar
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Patent number: 7567903Abstract: A method and apparatus for performing speech recognition are provided. A Vocal Tract Length Normalized acoustic model for a speaker is generated from training data. Speech recognition is performed on a first recognition input to determine a first best hypothesis. A first Vocal Tract Length Normalization factor is estimated based on the first best hypothesis. Speech recognition is performed on a second recognition input using the Vocal Tract Length Normalized acoustic model to determine an other best hypothesis. An other Vocal Tract Length Normalization factor is estimated based on the other best hypothesis and at least one previous best hypothesis.Type: GrantFiled: January 12, 2005Date of Patent: July 28, 2009Assignee: AT&T Intellectual Property II, L.P.Inventors: Vincent Goffin, Andrej Ljolje, Murat Saraclar