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1. WO2013003749 - STATISTICAL MACHINE TRANSLATION FRAMEWORK FOR MODELING PHONOLOGICAL ERRORS IN COMPUTER ASSISTED PRONUNCIATION TRAINING SYSTEM

Publication Number WO/2013/003749
Publication Date 03.01.2013
International Application No. PCT/US2012/044992
International Filing Date 29.06.2012
IPC
G09B 19/06 2006.1
GPHYSICS
09EDUCATING; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
19Teaching not covered by other main groups of this subclass
06Foreign languages
G10L 15/06 2013.1
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
G10L 15/14 2006.1
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
08Speech classification or search
14using statistical models, e.g. Hidden Markov Models
CPC
G06F 40/40
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
40Handling natural language data
40Processing or translation of natural language
G09B 19/06
GPHYSICS
09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
19Teaching not covered by other main groups of this subclass
06Foreign languages
G10L 15/063
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
063Training
G10L 15/187
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
08Speech classification or search
18using natural language modelling
183using context dependencies, e.g. language models
187Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
G10L 15/197
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
08Speech classification or search
18using natural language modelling
183using context dependencies, e.g. language models
19Grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
197Probabilistic grammars, e.g. word n-grams
Applicants
  • ROSETTA STONE, LTD [US]/[US] (AllExceptUS)
  • PELLOM, Bryan (UsOnly)
  • STANLEY, Theban (UsOnly)
  • HACIOGLU, Kadri (UsOnly)
Inventors
  • PELLOM, Bryan
  • STANLEY, Theban
  • HACIOGLU, Kadri
Agents
  • SCHWARZ, Paul
Priority Data
61/503,32530.06.2011US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) STATISTICAL MACHINE TRANSLATION FRAMEWORK FOR MODELING PHONOLOGICAL ERRORS IN COMPUTER ASSISTED PRONUNCIATION TRAINING SYSTEM
(FR) CADRICIEL DE TRADUCTION AUTOMATIQUE STATISTIQUE POUR MODÉLISER DES ERREURS PHONOLOGIQUES DANS SYSTÈME D'APPRENTISSAGE DE PRONONCIATION ASSISTÉ PAR ORDINATEUR
Abstract
(EN) Methods and systems for teaching a user a non-native language include creating models representing phonological errors in the non-native language and generating with the models non-native pronunciations for a native pronunciation. The non-native pronunciations may be used for detecting phonological errors in an utterance spoken in the non-native language by the user. The models can include a native to non-native phone translation model and a non-native phone language model.
(FR) L'invention concerne des procédés et des systèmes qui permettent d'enseigner à un utilisateur une langue non maternelle, et qui consistent à créer des modèles représentant des erreurs phonologiques dans la langue non maternelle et à générer, avec les modèles, des prononciations non maternelles pour une prononciation maternelle. Les prononciations non maternelles peuvent être utilisées pour détecter des erreurs phonologiques dans un énoncé prononcé dans la langue non maternelle par l'utilisateur. Les modèles peuvent comprendre un modèle de traduction par téléphone maternelle en non maternelle et un modèle de langue par téléphone non maternelle.
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