Notes:
A grammar recognizer is a software tool that is used to analyze and parse spoken or written language according to the rules of a specific grammar. Grammar recognizers are used in a variety of applications, including speech recognition systems, natural language processing (NLP) systems, and chatbots or virtual assistants.
In speech recognition systems, grammar recognizers are used to analyze and understand spoken language and convert it into text. This can involve identifying individual words and phrases, as well as determining the grammatical structure of the sentence and the relationships between words and phrases.
In NLP systems, grammar recognizers are used to analyze and understand written language and extract meaning from it. This can involve identifying the parts of speech in a sentence, determining the grammatical structure of the sentence, and identifying relationships between words and phrases.
In chatbots and virtual assistants, grammar recognizers are used to analyze and understand the input from users and determine how to respond. This can involve identifying the intended meaning of the user’s input, determining the appropriate response based on the rules of the chatbot’s grammar, and generating a response in natural language.
Grammar recognizers are related to the Speech Recognition Grammar Specification (SRGS) in that they are used to interpret and recognize spoken language input based on the rules and structures defined in an SRGS document.
SRGS is a W3C recommendation that defines a markup language for representing the grammar of a spoken language. It specifies a way to describe the words, phrases, and rules that make up a grammar, as well as the structure and organization of that grammar.
Grammar recognizers are software programs that use SRGS documents to interpret and recognize spoken language input. They do this by comparing the spoken input to the rules and structures defined in the SRGS document and determining if the input matches the expected grammar. If the input matches the grammar, the grammar recognizer will output the recognized text. If the input does not match the grammar, the grammar recognizer will typically output an error or a message indicating that the input was not recognized.
Grammar recognizers are often used in speech recognition systems to improve the accuracy and reliability of the recognition process. By specifying the expected grammar in an SRGS document, the system can more effectively filter out input that does not conform to the expected grammar, resulting in more accurate and reliable recognition results.
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Implementation of a hidden Markov model-based layered grammar recognizer BI Pawate, GR Doddington – Acoustics, Speech, and Signal …, 1989 – ieeexplore.ieee.org Abstract The authors describe the challenges encountered and the tradeoffs made in the implementation of a hidden Markov-model-based continuous-word recognizer. Calypso, a multiple processor system, is the implementation platform. The model-driven approach … Cited by 4 – Related articles
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[CITATION] Information processing in children S Farnham-Diggory – 1972 – Academic Press Cited by 57 – Related articles – Library Search – All 2 versions
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Corrective and reinforcement learning for speaker-independent continuous speech recognition KF Lee… – Computer Speech & Language, 1990 – Elsevier … This happens because the two grammars make very different errors, which we verified by comparing their nearmiss phrase hypotheses. For example, the wordpair grammar recognizer usually does not confuse than with their, but the nogrammar one often does. … Cited by 44 – Related articles – Library Search – All 2 versions
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A HMM-based approach for segmenting continuous speech BI Pawate… – … 1992. 1992 Conference Record of The …, 1992 – ieeexplore.ieee.org … [lo] A. Ljolje and MD Riley, Automatic Segmentation and Labelling of Speech, ICASSP-91. [ ll ] BI Pawate and GR Doddington, Implerttentatioii of a Hidden Markov Model based Layered Grammar Recognizer, ICASSP- 89, Glasgow, Scotland. … Cited by 4 – Related articles – BL Direct
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Unsupervised training in natural language call routing DJ McCarthy, P Natarajan – US Patent 7,092,888, 2006 – Google Patents … In terms of error rate, a natural language call routing system using statistical models for both speech recognition and topic identification outperforms a system 45 using an ordinary phrase-based grammar recognizer by a factor of approximately 2 to 1. Deployment of a natural … Cited by 25 – Related articles – All 2 versions
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[CITATION] Formal Linguistics M Capelletti Related articles
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Multimodal interaction H Salminen – US Patent App. 11/026,447, 2004 – Google Patents … {ooi loot 1-1 //Create factory MMIntegrator integ = new MMIntegrator(); //Create one interaction MMInteraction inter = integ.createlnteraction(); (^Create JSAPI 2.0 recognizer and load a suitable grammar ^Recognizer reco = Central.createRecognizer(null); jf reco.loadGrammar …
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THE HUMAN COMPUTER INTERFACE AN Badre – stormingmedia.us … reference. This method enables the semantic grammar non-terminal categories to be applied in a much more effective context-sensitive manner than would be the case is a pure context-free grammar recognizer. * Equivalence … Related articles
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The Lincoln large-vocabulary HMM CSR [PDF] from upenn.edu DB Paul – Proceedings of the workshop on Speech and Natural …, 1992 – dl.acm.org … Thus the scores in the FM tree drop off after the word ends while the upper bound of the scores in the FM-bounding tree does not.) This reen- trant tree is, in effect, an efficient implementation of a no-grammar recognizer whose only output of interest is the AFM-bound. … Cited by 5 – Related articles – All 15 versions
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[PDF] Albert L. Stevens, Michael D. Williams, and James D. Hollan 134 An Advanced Human Interface for Computer Assisted Instruction in Propulsion Engineering [PDF] from gatech.edu JC Thomas – Gathering Information for Problem Formulation, 1982 – smartech.gatech.edu … reference. This method enables the semantic grammar non-terminal categories to be applied in a much more effective context-sensitive manner than would be the case is a pure context-free grammar recognizer. • Equivalence … View as HTML
Voice user interface with personality KJ Surace, GM White, BB Reeves, CI Nass… – US Patent …, 2000 – Google Patents … 9 938- BARGE-IN DETECTOR PHRASE DELIMITER A 916j3_ 914 RECOGNITION HISTORY RECOGNITION GRAMMAR RECOGNIZER 912 RECOGNITION MANAGER 922 PLAYER & SYNTHESIZER 924^ f UNINSTALL INSTALL B 936 926- 2l PROMPT MANAGER … Cited by 138 – Related articles – All 2 versions
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[PDF] Internet-Draft Voxeo Intended status: Standards Track S. Shanmugham Expires: May 2, 2012 Cisco Systems, Inc. October 30, 2011 [PDF] from levkowetz.com SD Burnett – 2011 – cabernet.levkowetz.com Page 1. SPEECHSC D. Burnett Internet-Draft Voxeo Intended status: Standards Track S. Shanmugham Expires: May 2, 2012 Cisco Systems, Inc. October 30, 2011 Media Resource Control Protocol Version 2 (MRCPv2) draft-ietf-speechsc-mrcpv2-26 Abstract … Related articles – View as HTML – All 3 versions
[PDF] Interacting with networked devices [PDF] from unc.edu O Omojokun – 2006 – plone.cs.unc.edu Page 1. INTERACTING WITH NETWORKED DEVICES Olufisayo Omojokun A dissertation submitted to the faculty of the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the … Cited by 1 – Related articles – View as HTML – Library Search – All 6 versions
ICARUS: Source generator based real-time recognition of speech in noisy stressful and Lombard effect environments [PDF] from psu.edu JHL Hansen… – Speech communication, 1995 – Elsevier Cited by 31 – Related articles – All 9 versions
[PDF] Final Report on Multimodal Experiments-Part II: Experiments for data collection and technology evaluation [PDF] from eurice.info N Blaylock, C Gerstenberger, M Kaißer, P Poller… – 2006 – eurice.info Page 1. Final Report on Multimodal Experiments – Part II: Experiments for data collection and technology evaluation Andreas Korthauer (ed.), Ivana Kruijff-Korbayov á, Tilman Becker, Nate Blaylock, Ciprian Gerstenberger, Michael Kaißer, Peter Poller, Verena Rieser, Jan Schehl, … Related articles – View as HTML – All 8 versions
Semantic processing engine A Deb… – US Patent 7,546,234, 2009 – Google Patents Page 1. Illllllllllllllllllllllllllllllllllllllllllllllllll US007546234B1 (12) United States Patent Deb et al. (io) Patent No.: (45) Date of Patent: US 7,546,234 Bl Jun. 9, 2009 (54; (75 (73 (* (21 (22 (60 (51 (52; (58 (56 SEMANTIC PROCESSING … Cited by 1 – Related articles – All 2 versions
[PDF] Investigation and Modeling of Test Environment at DIPN/IMS [PDF] from kth.se T MANNERSTEDT – nada.kth.se Page 1. Investigation and Modeling of Test Environment at DIPN/IMS TOMAS MANNERSTEDT Master of Science Thesis Stockholm, Sweden 2006 Page 2. Investigation and Modeling of Test Environment at DIPN/IMS TOMAS MANNERSTEDT … Related articles – View as HTML – All 6 versions
[PDF] Semiring Parsing [PDF] from psu.edu Y Liu – 2004 – Citeseer Page 1. PhD Depth Examination Report Algebraic Foundation of Statistical Parsing Semiring Parsing Yudong Liu 200101828 Supervised by: Dr. Anoop Sarkar Computing Science Department Simon Fraser University November 26, 2004 1 Page 2. Abstract … Related articles – View as HTML – All 7 versions
Processable English: The Theory Behind the PENG System. [PDF] from defence.gov.au K Trentelman – 2009 – dspace.dsto.defence.gov.au … be generated. Grammar Recogniser A program which checks whether a given string is grammatically correct but – unlike a parser – does not provide any information regarding the string’s syntactic structure. Interpretation An … Cited by 1 – Related articles – All 5 versions
[PDF] Cross-lingual acoustic model adaptation for speaker-independent speech recognition [PDF] from tkk.fi R Karhila – 2010 – research.ics.tkk.fi Page 1. Aalto University School of Science and Technology Faculty of Electronics, Communications and Automation Reima Karhila Cross-lingual acoustic model adaptation for speaker-independent speech recognition Master’s … Related articles – View as HTML – All 2 versions
Microphone array for hands-free voice communication in a car S Oh… – Modern Methods of Speech Processing, 1995 – Springer Page 1. 15 MICROPHONE ARRAY FOR HANDS-FREE VOICE COMMUNICATION IN A CAR Stephen Oh and Vishu Viswanathan ABSTRACT Texas Instruments, Inc. Dallas, Texas USA We present the results of our research … Cited by 3 – Related articles – BL Direct – All 2 versions
[BOOK] Sound and vision: audiovisual aspects of a virtual-reality personnel-training system. [PDF] from mcgill.ca A Okapuu-von Veh – 1996 – digitool.library.mcgill.ca Page 1. 1+1 NaltC’nal Ubrarv of Canada Bibliothèque nationale du Cannda Acquisitions and Direction des acquisitions ct Bibliographic Services Branch des services bibliographiques 395 Wclhnglon SlIcel 395, rue Wellington Ollawn,OnlnllO OllnW;;t (Onlario) K1AON4 K1AON4 … View as HTML – Library Search
Method and apparatus for semantic processing engine A Deb… – US Patent 7,548,848, 2009 – Google Patents Page 1. Illllllllllllllllllllllllllllllllllllllllllllllllll US007548848B1 United States Patent Deb et al. (io) Patent No.: (45) Date of Patent: US 7,548,848 Bl Jun. 16, 2009 METHOD AND APPARATUS FOR SEMANTIC PROCESSING ENGINE … Cited by 4 – Related articles – All 2 versions
[BOOK] Windows Speech Recognition Programming: With Visual Basic and ActiveX Voice Controls KA Jones – 2004 – books.google.com … inputs…..243 A.4 Visual Basic ActiveX VoiceTelephony control to recognize & speak over a phone …..256 A.5 Visual Basic ActiveX DirectSpeechRe cognition large lexicon grammar recognizer …..265 A … All 2 versions
[HTML] Media Resource Control Protocol Version 2 (MRCPv2) [HTML] from ietf.org S Shanmugham… – 2011 – tools.ietf.org [Docs] [txt|pdf] [Tracker] [WG] [Email] [Diff1] [Diff2] [Nits] Versions: 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 SPEECHSC D. Burnett Internet-Draft Voxeo Intended status: Standards Track S. Shanmugham Expires: May 2, 2012 Cisco … Cited by 16 – Related articles – Cached – All 2 versions
[PDF] The Bum Bag Navigator: A configurable mobile multi-purpose navigation system for pedestrians [PDF] from psu.edu I Aslan – Unpublished thesis for German Diploma in Computer- …, 2004 – Citeseer Page 1. The Bum Bag Navigator: A Configurable Mobile Multi-Purpose Navigation System for Pedestrians by Ilhan Aslan A thesis presented to the Saarland University in fulfilment of the thesis requirements for the degree of a German Diploma in Computer-Science … Cited by 3 – Related articles – View as HTML – All 3 versions
Virtual Environment Technology for MOUT Training [PDF] from dtic.mil II Helms… – 1997 – DTIC Document Page 1. Navy Personnel Research and Development Center San Diego, California 92152-7250 TN-97-10 July 1997 Virtual Environment Technology for MOUT Training Robert F. Helms, II Daniel B. Nissman James F. Kennedy … Cited by 1 – Related articles