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Alex Acero Phones & Addresses

  • Monte Sereno, CA
  • Bellevue, WA
  • Redmond, WA
  • Cupertino, CA
  • Santa Clara, CA
  • Orange, CA
  • Kiona, WA

Publications

Isbn (Books And Publications)

Spoken Language Processing: A Guide to Theory, Algorithm, and System Development

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Author

Alex Acero

ISBN #

0130226165

Us Patents

Training System For A Speech Recognition Application

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US Patent:
7813926, Oct 12, 2010
Filed:
Mar 16, 2006
Appl. No.:
11/376853
Inventors:
John Sie Yuen Lee - Cambridge MA, US
Alex Acero - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G10L 15/00
G10L 15/06
G10L 15/18
US Classification:
704245, 704243, 704244, 704257
Abstract:
A training system for a speech recognition application is disclosed. In embodiments described, the training system is used to train a classification model or language model. The classification model is trained using an adaptive language model generated by an iterative training process. In embodiments described, the training data is recognized by the speech recognition component and the recognized text is used to create the adaptive language model which is used for speech recognition in a following training iteration.

Conveying Locations In Spoken Dialog Systems

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US Patent:
8065078, Nov 22, 2011
Filed:
Aug 10, 2007
Appl. No.:
11/836955
Inventors:
Ivan Tashev - Kirkland WA, US
Michael Lewis Seltzer - Seattle WA, US
Yun-Cheng Ju - Bellevue WA, US
Alex Acero - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G01C 21/00
G08G 1/123
US Classification:
701201, 701205, 340988
Abstract:
The presentation of location information to a user that is distracted by traveling can result in the user quickly forgetting, or never even comprehending, key parts of the location information, such as the street number. Identification can be made of intersections and points of interest near the user's destination, which can then be provided instead of, or in addition to, the address, thereby increasing user comprehension and retention, especially when distracted. Map data can be parsed into addresses, intersections and points of interest databases. These databases can be accessed to identify proximate intersections and points of interest, which can then be filtered and subsequently ranked to identify one intersection, one point of interest, or both, that can be presented to the user to aid the user in comprehending and retaining the location information even when distracted.

Automatic Reading Tutoring Using Dynamically Built Language Model

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US Patent:
8306822, Nov 6, 2012
Filed:
Sep 11, 2007
Appl. No.:
11/900274
Inventors:
Xiaolong Li - Sammamish WA, US
Li Deng - Sammamish WA, US
Yun-Cheng Ju - Bellevue WA, US
Alex Acero - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G10L 15/22
US Classification:
704270, 704251, 704275
Abstract:
A method of providing automatic reading tutoring is disclosed. The method includes retrieving a textual indication of a story from a data store and creating a language model including constructing a target context free grammar indicative of a first portion of the story. A first acoustic input is received and a speech recognition engine is employed to recognize the first acoustic input. An output of the speech recognition engine is compared to the language model and a signal indicative of whether the output of the speech recognition matches at least a portion of the target context free grammar is provided.

Incrementally Regulated Discriminative Margins In Mce Training For Speech Recognition

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US Patent:
20080052075, Feb 28, 2008
Filed:
Aug 25, 2006
Appl. No.:
11/509980
Inventors:
Xiaodong He - Issaquah WA, US
Alex Acero - Bellevue WA, US
Dong Yu - Kirkland WA, US
Li Deng - Sammamish WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G10L 15/14
US Classification:
704256
Abstract:
A method and apparatus for training an acoustic model are disclosed. A training corpus is accessed and converted into an initial acoustic model. Scores are calculated for a correct class and competitive classes, respectively, for each token given the acoustic model. From this score a misclassification measure is calculated and then a loss function is calculated from the misclassification measure. The loss function also includes a margin value that varies over each iteration in the training. Based on the calculated loss function the acoustic model is updated, where the loss function with the margin value is minimized. This process repeats until such time as an empirical convergence is met.

A/V Content Editing

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US Patent:
20080177536, Jul 24, 2008
Filed:
Jan 24, 2007
Appl. No.:
11/626726
Inventors:
Adil Sherwani - Bellevue WA, US
Christopher Weare - Bellevue WA, US
Patrick Nguyen - Seattle WA, US
Milind Mahajan - Redmond WA, US
Alex Acero - Bellevue WA, US
Manuel Clement - Bellevue WA, US
Patrick Nelson - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G10L 15/26
US Classification:
704235, 704E1504
Abstract:
A/V content creation, editing and publishing is disclosed. Speech recognition can be performed on the A/V content to identify words therein and form a transcript of the words. The transcript can be aligned with the associated A/V content and displayed to allow selective editing of the transcript and associated A/V content. Keywords and a summary for the transcript can also be identified for use in publishing the A/V content.

Intra-Language Statistical Machine Translation

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US Patent:
20090248422, Oct 1, 2009
Filed:
Mar 28, 2008
Appl. No.:
12/058328
Inventors:
Xiao Li - Bellevue WA, US
Yun-Cheng Ju - Bellevue WA, US
Geoffrey Zweig - Sammamish WA, US
Alex Acero - Bellevue WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G10L 11/00
G06F 17/28
US Classification:
704277, 704 9, 704E11001
Abstract:
Training data may be provided, the training data including pairs of source phrases and target phrases. The pairs may be used to train an intra-language statistical machine translation model, where the intra-language statistical machine translation model, when given an input phrase of text in the human language, can compute probabilities of semantic equivalence of the input phrase to possible translations of the input phrase in the human language. The statistical machine translation model may be used to translate between queries and listings. The queries may be text strings in the human language submitted to a search engine. The listing strings may be text strings of formal names of real world entities that are to be searched by the search engine to find matches for the query strings.

Amazon

Acoustical And Environmental Robustness In Automatic Speech Recognition (The Springer International Series In Engineering And Computer Science)

Acoustical and Environmental Robustness in Automatic Speech Recognition (The Springer International Series in Engineering and Computer Science)

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The need for automatic speech recognition systems to be robust with respect to changes in their acoustical environment has become more widely appreciated in recent years, as more systems are finding their way into practical applications. Although the issue of environmental robustness has received on...

Author

Alex Acero

Binding

Paperback

Pages

186

Publisher

Springer

ISBN #

1461363667

EAN Code

9781461363668

ISBN #

3

Spoken Language Processing: A Guide To Theory, Algorithm And System Development By Xuedong Huang (2001-05-05)

Spoken Language Processing: A Guide to Theory, Algorithm and System Development by Xuedong Huang (2001-05-05)

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Author

Xuedong Huang;Alex Acero;Hsiao-Wuen Hon

Binding

Paperback

Publisher

Prentice Hall

ISBN #

6

Spoken Language Processing: A Guide To Theory, Algorithm And System Development By Huang, Xuedong, Acero, Alex, Hon, Hsiao-Wuen(May 5, 2001) Paperback

Spoken Language Processing: A Guide to Theory, Algorithm and System Development by Huang, Xuedong, Acero, Alex, Hon, Hsiao-Wuen(May 5, 2001) Paperback

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Author

Xuedong, Acero, Alex, Hon, Hsiao-Wuen Huang

Binding

Paperback

Publisher

Prentice Hall

ISBN #

5

Spoken Language Processing: A Guide To Theory, Algorithm And System Development

Spoken Language Processing: A Guide to Theory, Algorithm and System Development

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*New advances in spoken language processing: theory and practice *In-depth coverage of speech processing, speech recognition, speech synthesis, spoken language understanding, and speech interface design *Many case studies from state-of-the-art systems, including examples from Microsofts advanced res...

Author

Xuedong Huang, Alex Acero, Hsiao-Wuen Hon

Binding

Paperback

Pages

1008

Publisher

Prentice Hall

ISBN #

0130226165

EAN Code

9780130226167

ISBN #

1

Alex Acero from Monte Sereno, CA, age ~63 Get Report