260 likes | 374 Views
Global provider of speech technology solutions Based in St. Petersburg, Russia (offices in Moscow, New York, Saarbrucken, Minsk, Mexico City, Quito) Global distribution network. Sales in more than 75 countries Complete cycle business model
E N D
Global provider of speech technology solutions • Based in St. Petersburg, Russia (offices in Moscow, New York, Saarbrucken, Minsk, Mexico City, Quito) • Global distribution network. Sales in more than 75 countries • Complete cycle business model • First company in the world to deploy large scale voice identification platform • Co-editor of international speech biometric standard ISO/IEC JTC1/SC37 • Strong R&D platform allows STC to stay ahead of the competition • Sound recording, processing and analysis, noise cancellation • Speech recognition and text-to-speech (Russian language) • Voice biometrics (voice identification) • Automated recognition of emotions 2
350 employees worldwide including over 100 technical specialists, scientists and software developers Strong implementation, training and support team Largest R&D Department of any Voice Biometrics company Benefits: • Not dependent on 3rd parties for any technology changes • Can quickly react to market, partner & customer needs 3
About the Project • Requirements • Partial Results • User-System Interaction • User Model • Passive Interaction • Active Interaction • Exercises • Error analysis • Feedback • Conclusion 4
Concept of Material Handling • Character Kipu • Kipu’s life as topics layout • Why Kipu? 7
Lessons • 30 lessons in each course • 7 main sections of a lesson: Introduction Dialogue Grammar Vocabulary Introduction Dialogue Grammar Vocabulary Pronunciation Revision Cultural note Pronunciation Revision Cultural note 8
What is UM Using UM • Corrective • Elaborative • Strategic • Diagnostic • Predictive • Evaluative Any information related to a user 9
Data • Simple (number of mistakes) • Complicated (particularly analysable information) UM Types • Implicit UM • Explicit UM • Collaborative UM • UM to disambiguate learner input 10
Passive “Passive” material System • Active Exercises Answers System Result and recommendation 11
Grammar 13
Vocabulary 14
Exercises Error Analysis Feedback 17
Exercises • 5 equal steps in each exercise • Form: multiple choice (in LT – only one possible correct answer) Grammar exercises • “Insert the correct word” Vocabulary exercises • Visual association • Speaking (ASR) • Audition 18
Error analysis Data for analysis Grammar exercises • Distinctive features of each answer (different for each lesson and language) Vocabulary exercises • Type of an exercise • Time index 19
Feedback Reports General repot • Accessible at the user’s profile • Contains all the USI data • Sortable data Local report • Given after an exercise • Compiled with the results of an exercise • 3 levels of detail • Presents the result of analysis by expert system • Gives a recommendation 20
Feedback: Local Report Score Report(3 levels of details) Recommendation 21
Local Report: detalization Description • Less detailed • the amount of mistakes • Medium detailed • the amount of mistakes • the location of each mistake • Most detailed • the amount of mistakes • the location of each mistake • the description of each mistake Grammar Distinctive Features (grammatical or semantic parameters) Grammar type of an exercise, time index 22
Local Report 23
Courses of 9 languages, each contains 30 lessons • Entertaining material handling • Full-fledged structured teaching material • ASR technology is applied • Easy-going revision • Giving the description of errors • Opportunity to practice more 24