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No. Publication Number Title Publication/Patent Number Publication/Patent Number Publication Date Publication Date
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1
US2019295432A1
PORTABLE, MODULAR, AIR TRAFFIC CONTROL SIMULATOR
Publication/Patent Number: US2019295432A1 Publication Date: 2019-09-26 Application Number: 16/359,287 Filing Date: 2019-03-20 Inventor: Brady, Michael Joseph   Pickett, Kevin Neil   Assignee: Adacel Systems, Inc.   IPC: G09B9/00 Abstract: An air traffic control (ATC) simulator includes a plurality of rolling carts each supporting at least one visual display thereabove. The rolling carts are configured to store the visual displays therein for storage and transport. The carts also include computer hardware configured with software to drive the visual displays to display a panoramic view of an airport across the visual displays. The ATC simulator can be stored within two or more rolling carts for transport to and from any desired location. Once in a desired location, the visual displays are removed from the carts and set up thereabove. Data connections are made between each of the carts, power is supplied to the carts, and the ATC simulator is ready for use.
2
US9659559B2
Phonetic distance measurement system and related methods
Publication/Patent Number: US9659559B2 Publication Date: 2017-05-23 Application Number: 12/491,769 Filing Date: 2009-06-25 Inventor: Shu, Chang-qing   Assignee: ADACEL SYSTEMS, INC.   IPC: G10L15/01 Abstract: Phonetic distances are empirically measured as a function of speech recognition engine recognition error rates. The error rates are determined by comparing a recognized speech file with a reference file. The phonetic distances can be normalized to earlier measurements. The phonetic distances/error rates can also be used to improve speech recognition engine grammar selection, as an aid in language training and evaluation, and in other applications.
3
US2017256253A1
PHONETIC DISTANCE MEASUREMENT SYSTEM AND RELATED METHODS
Publication/Patent Number: US2017256253A1 Publication Date: 2017-09-07 Application Number: 15/601,313 Filing Date: 2017-05-22 Inventor: Shu, Chang-qing   Assignee: Adacel Systems, Inc.   IPC: G10L15/01 Abstract: Phonetic distances are empirically measured as a function of speech recognition engine recognition error rates. The error rates are determined by comparing a recognized speech file with a reference file. The phonetic distances can be normalized to earlier measurements. The phonetic distances/error rates can also be used to improve speech recognition engine grammar selection, as an aid in language training and evaluation, and in other applications.
4
US8731923B2
System and method for merging audio data streams for use in speech recognition applications
Publication/Patent Number: US8731923B2 Publication Date: 2014-05-20 Application Number: 12/860,245 Filing Date: 2010-08-20 Inventor: Shu, Chang-qing   Assignee: Adacel Systems, Inc.   IPC: G10L15/00 Abstract: A system and method for merging audio data streams receive audio data streams from separate inputs, independently transform each data stream from the time to the frequency domain, and generate separate feature data sets for the transformed data streams. Feature data from each of the separate feature data sets is selected to form a merged feature data set that is output to a decoder for recognition purposes. The separate inputs can include an ear microphone and a mouth microphone.
5
US2014163989A1
INTEGRATED LANGUAGE MODEL, RELATED SYSTEMS AND METHODS
Publication/Patent Number: US2014163989A1 Publication Date: 2014-06-12 Application Number: 13/954,418 Filing Date: 2013-07-30 Inventor: Shu, Chang Qing   Shu, Han   Merwin, John M.   Assignee: ADACEL SYSTEMS, INC.   IPC: G10L15/18 Abstract: An integrated language model includes an upper-level language model component and a lower-level language model component, with the upper-level language model component including a non-terminal and the lower-level language model component being applied to the non-terminal. The upper-level and lower-level language model components can be of the same or different language model formats, including finite state grammar (FSG) and statistical language model (SLM) formats. Systems and methods for making integrated language models allow designation of language model formats for the upper-level and lower-level components and identification of non-terminals. Automatic non-terminal replacement and retention criteria can be used to facilitate the generation of one or both language model components, which can include the modification of existing language models.
6
US8515734B2
Integrated language model, related systems and methods
Publication/Patent Number: US8515734B2 Publication Date: 2013-08-20 Application Number: 12/701,788 Filing Date: 2010-02-08 Inventor: Shu, Chang-qing   Shu, Han   Mervin, John M.   Assignee: Adacel Systems, Inc.   IPC: G06F17/27 Abstract: An integrated language model includes an upper-level language model component and a lower-level language model component, with the upper-level language model component including a non-terminal and the lower-level language model component being applied to the non-terminal. The upper-level and lower-level language model components can be of the same or different language model formats, including finite state grammar (FSG) and statistical language model (SLM) formats. Systems and methods for making integrated language models allow designation of language model formats for the upper-level and lower-level components and identification of non-terminals. Automatic non-terminal replacement and retention criteria can be used to facilitate the generation of one or both language model components, which can include the modification of existing language models.
7
US8559656B2
System and method for automatic microphone volume setting
Publication/Patent Number: US8559656B2 Publication Date: 2013-10-15 Application Number: 12/835,440 Filing Date: 2010-07-13 Inventor: Shu, Chang-qing   Liao, Dezhi   Assignee: Adacel Systems, Inc.   IPC: H03G3/00 Abstract: Optimal microphone volumes are automatically set for computer applications based on determination of peak volume levels and noise levels from one or more digital audio captures. The peak volume levels and noise levels can be advantageously determined based on distribution curves of sample volume levels in the digital audio captures. Clipping can be automatically compensated for by estimating peak unclipped capture volume levels from the distribution curves.
8
US2012014537A1
System and Method for Automatic Microphone Volume Setting
Publication/Patent Number: US2012014537A1 Publication Date: 2012-01-19 Application Number: 12/835,440 Filing Date: 2010-07-13 Inventor: Shu, Chang-qing   Liao, Dezhi   Assignee: ADACEL SYSTEMS, INC.   IPC: H03G3/00 Abstract: Optimal microphone volumes are automatically set for computer applications based on determination of peak volume levels and noise levels from one or more digital audio captures. The peak volume levels and noise levels can be advantageously determined based on distribution curves of sample volume levels in the digital audio captures. Clipping can be automatically compensated for by estimating peak unclipped capture volume levels from the distribution curves.
9
US2012046946A1
SYSTEM AND METHOD FOR MERGING AUDIO DATA STREAMS FOR USE IN SPEECH RECOGNITION APPLICATIONS
Publication/Patent Number: US2012046946A1 Publication Date: 2012-02-23 Application Number: 12/860,245 Filing Date: 2010-08-20 Inventor: Shu, Chang-qing   Assignee: ADACEL SYSTEMS, INC.   IPC: G10L15/06 Abstract: A system and method for merging audio data streams receive audio data streams from separate inputs, independently transform each data stream from the time to the frequency domain, and generate separate feature data sets for the transformed data streams. Feature data from each of the separate feature data sets is selected to form a merged feature data set that is output to a decoder for recognition purposes. The separate inputs can include an ear microphone and a mouth microphone.
10
US8301446B2
System and method for training an acoustic model with reduced feature space variation
Publication/Patent Number: US8301446B2 Publication Date: 2012-10-30 Application Number: 12/413,896 Filing Date: 2009-03-30 Inventor: Shu, Chang-qing   Assignee: Adacel Systems, Inc.   IPC: G10L15/00 Abstract: Feature space variation associated with specific text elements is reduced by training an acoustic model with a phoneme set, dictionary and transcription set configured to better distinguish the specific text elements and at least some specific phonemes associated therewith. The specific text elements can include the most frequently occurring text elements from a text data set, which can include text data beyond the transcriptions of a training data set. The specific text elements can be identified using a text element distribution table sorted by occurrence within the text data set. Specific phonemes can be limited to consonant phonemes to improve speed and accuracy.
11
CA2731013A1
INTEGRATED LANGUAGE MODEL
Publication/Patent Number: CA2731013A1 Publication Date: 2011-08-08 Application Number: 2731013 Filing Date: 2011-02-02 Inventor: Shu, Han   Shu, Chang-qing   Merwin, John M   Assignee: ADACEL SYSTEMS, INC.   IPC: G10L15/06 Abstract: An integrated language model includes an upper-level language model component and a lower-level language model component
12
CA3012200A1
INTEGRATED LANGUAGE MODEL, RELATED SYSTEMS AND METHODS
Publication/Patent Number: CA3012200A1 Publication Date: 2011-08-08 Application Number: 3012200 Filing Date: 2011-02-02 Inventor: Shu, Han   Shu, Chang-qing   Merwin, John M.   Assignee: ADACEL SYSTEMS, INC.   IPC: G10L15/06
13
US2011196668A1
Integrated Language Model, Related Systems and Methods
Publication/Patent Number: US2011196668A1 Publication Date: 2011-08-11 Application Number: 12/701,788 Filing Date: 2010-02-08 Inventor: Shu, Chang-qing   Shu, Han   Mervin, John M.   Assignee: ADACEL SYSTEMS, INC.   IPC: G06F17/27 Abstract: An integrated language model includes an upper-level language model component and a lower-level language model component, with the upper-level language model component including a non-terminal and the lower-level language model component being applied to the non-terminal. The upper-level and lower-level language model components can be of the same or different language model formats, including finite state grammar (FSG) and statistical language model (SLM) formats. Systems and methods for making integrated language models allow designation of language model formats for the upper-level and lower-level components and identification of non-terminals. Automatic non-terminal replacement and retention criteria can be used to facilitate the generation of one or both language model components, which can include the modification of existing language models.
14
US2010250240A1
SYSTEM AND METHOD FOR TRAINING AN ACOUSTIC MODEL WITH REDUCED FEATURE SPACE VARIATION
Publication/Patent Number: US2010250240A1 Publication Date: 2010-09-30 Application Number: 12/413,896 Filing Date: 2009-03-30 Inventor: Shu, Chang-qing   Assignee: ADACEL SYSTEMS, INC.   IPC: G06F17/21 Abstract: Feature space variation associated with specific text elements is reduced by training an acoustic model with a phoneme set, dictionary and transcription set configured to better distinguish the specific text elements and at least some specific phonemes associated therewith. The specific text elements can include the most frequently occurring text elements from a text data set, which can include text data beyond the transcriptions of a training data set. The specific text elements can be identified using a text element distribution table sorted by occurrence within the text data set. Specific phonemes can be limited to consonant phonemes to improve speed and accuracy.
15
US2010145677A1
System and Method for Making a User Dependent Language Model
Publication/Patent Number: US2010145677A1 Publication Date: 2010-06-10 Application Number: 12/396,933 Filing Date: 2009-03-03 Inventor: Shu, Chang-qing   Assignee: ADACEL SYSTEMS, INC.   IPC: G06F17/27 Abstract: A language model for a speech recognition engine is made based on user-viewed data files. The data files are reviewed and texts are extracted therefrom. The language model is generated based on the extracted texts. Transcriptions of previous user statements are not required. Different weighting factors can be applied to elements of the extracted texts based on the nature of the data files. The weighting factors are then considered during generation of the language model. A user dependent and application independent language model can be created prior to initial use of the speech recognition engine.
16
US2010332230A1
PHONETIC DISTANCE MEASUREMENT SYSTEM AND RELATED METHODS
Publication/Patent Number: US2010332230A1 Publication Date: 2010-12-30 Application Number: 12/491,769 Filing Date: 2009-06-25 Inventor: Shu, Chang-qing   Assignee: ADACEL SYSTEMS, INC.   IPC: G10L15/04 Abstract: Phonetic distances are empirically measured as a function of speech recognition engine recognition error rates. The error rates are determined by comparing a recognized speech file with a reference file. The phonetic distances can be normalized to earlier measurements. The phonetic distances/error rates can also be used to improve speech recognition engine grammar selection, as an aid in language training and evaluation, and in other applications.