SlideShare a Scribd company logo
1 of 10
Download to read offline
Audiobook player on mobile
platform
Enabling audio book towards vocabulary acquisition.
Mentor: Dr. S.P. Kishore
Co-mentors: Dr. Radhika Mamidi, Dr. Priyanka Srivastava, and Lavanya Prahallad
- Chandan Singh (201101194)
- Harsh Vardhan Shukla (201101173)
Problem Statement
● The objective is to build an audio book player on android platform.
● The novelty of the work lies in developing a framework where it enables
an audio book towards vocabulary acquisition.
Work so far
● Implemented a basic audio book player with play/pause controls and
chapter navigation.
● Library scanner.
● Not successful with aligning text with audio so far.
● Works with Daisy 2.02 books.
Progress with Chapter tests
● Built a summarizing tool which summarizes an entire block of text into
few sentences which is an user defined parameter.
● We plan to use this summarizer to extract important facts from the
chapter and then frame questions based on these sentences to make
questions for comprehensive testing.
● We’ve come up with two summarizers based on two concepts:
○ tf-idf weighting
○ scores of a sentence based on
Tasks Remaining
● Incorporate the format specified by the other team instead of Daisy
2.02.
● Incorporate dictionary and chapter tests.
Milestones
● 1st Release:
○ Understand existing softwares and decide features & milestones.
○ Come up with a basic design of the application.
● 2nd Release (before summers) :
○ A working audiobook player with dictionary.
○ English will be the only supported language.
○ First report.
● During summers:
○ Application will be tested on a small audience and results will be
collected as how it helps in vocabulary acquisition.
Milestones (contd.)
● 3rd Release :
○ Modify application based on feedback.
○ Brush up UI.
○ Add chapter tests.
● 4th Release (Final release):
○ Make the application multilingual, with special focus on Indian native
languages.
○ Fix any issues and incorporate any suggested feature if possible
(based on feedback)
○ Final Report.
Sample Designs
References
1. Vocabulary Acquisition: The Research and Its Pedagogical Implications - Peter Duppenthaler
2. Lightly supervised recognition for automatic alignment of large coherent speech recordings -
Norbert Braunschweiler , M.J.F. Gales , Sabine Buchholz
3. Towards Fully Automatic Annotation of Audiobooks for TTS - Olivier Boeffard, Laure
Charonnat, Sébastien Le Maguer, Damien Lolive, Gaëlle Vidal
4. Using Audio Books to Improve Reading and Academic Performance - Joel R. Montgomery,
EdD
5. An Educator’s Guide to Utilizing Audiobooks in the Classroom - By Dr. Frank Serafini
6. Natural Language Processing techniques in Text-To-Speech synthesis and Automatic Speech
Recognition - Alexandre Trilla
7. A GRAPHEME-BASED METHOD FOR AUTOMATIC ALIGNMENT OF SPEECH AND TEXT DATA
- Adriana Stan
8. Improving English Pronunciation: An Automated Instructional Approach - Sugata Mitra,a
James Tooley,b Parimala Inamdar
9. A Vocabulary Acquisition Framework using Audio Books - Meena Vundela, Swetha A.V.S.L.G
and Kishore Prahallad
Thank You!!
Any queries/suggestions are most welcome.

More Related Content

Similar to Copy of btp presentation

Technology for Teaching and Learning.pdf
Technology for Teaching and Learning.pdfTechnology for Teaching and Learning.pdf
Technology for Teaching and Learning.pdfVastiPea
 
Encouraging autonomy through technology-enhanced tools
Encouraging autonomy through technology-enhanced toolsEncouraging autonomy through technology-enhanced tools
Encouraging autonomy through technology-enhanced toolsjohn6938
 
MULTILINGUAL SPEECH TO TEXT USING DEEP LEARNING BASED ON MFCC FEATURES
MULTILINGUAL SPEECH TO TEXT USING DEEP LEARNING BASED ON MFCC FEATURESMULTILINGUAL SPEECH TO TEXT USING DEEP LEARNING BASED ON MFCC FEATURES
MULTILINGUAL SPEECH TO TEXT USING DEEP LEARNING BASED ON MFCC FEATURESmlaij
 
Natural language processing for requirements engineering: ICSE 2021 Technical...
Natural language processing for requirements engineering: ICSE 2021 Technical...Natural language processing for requirements engineering: ICSE 2021 Technical...
Natural language processing for requirements engineering: ICSE 2021 Technical...alessio_ferrari
 
Polarity detection of movie reviews in
Polarity detection of movie reviews inPolarity detection of movie reviews in
Polarity detection of movie reviews inijcsa
 
Unit4task1 nicolasgonzalez diegoparedes
Unit4task1 nicolasgonzalez diegoparedesUnit4task1 nicolasgonzalez diegoparedes
Unit4task1 nicolasgonzalez diegoparedesDieggo Eduardo
 
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...Syeful Islam
 
Sean_McMinn-Breaking_Down_the_Four_Walls_Mobile_Devices_in_Classroom_Teaching...
Sean_McMinn-Breaking_Down_the_Four_Walls_Mobile_Devices_in_Classroom_Teaching...Sean_McMinn-Breaking_Down_the_Four_Walls_Mobile_Devices_in_Classroom_Teaching...
Sean_McMinn-Breaking_Down_the_Four_Walls_Mobile_Devices_in_Classroom_Teaching...TunZawMin1
 
Design Analysis Rules to Identify Proper Noun from Bengali Sentence for Univ...
Design Analysis Rules to Identify Proper Noun  from Bengali Sentence for Univ...Design Analysis Rules to Identify Proper Noun  from Bengali Sentence for Univ...
Design Analysis Rules to Identify Proper Noun from Bengali Sentence for Univ...Syeful Islam
 
Introduction to Natural Language Processing
Introduction to Natural Language ProcessingIntroduction to Natural Language Processing
Introduction to Natural Language Processinggokulprasath06
 
Using Stanza NLP and TensorFlow to create a summary of a book
Using Stanza NLP and TensorFlow to create a summary of a bookUsing Stanza NLP and TensorFlow to create a summary of a book
Using Stanza NLP and TensorFlow to create a summary of a bookOlusola Amusan
 
NLP applicata a LIS
NLP applicata a LISNLP applicata a LIS
NLP applicata a LISnoemiricci2
 
Using Technology in teaching listening.pptx
Using Technology in teaching listening.pptxUsing Technology in teaching listening.pptx
Using Technology in teaching listening.pptxaulacngoaingu
 
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...Syeful Islam
 
Technology to enhance curriculum & presentation
Technology to enhance curriculum &  presentationTechnology to enhance curriculum &  presentation
Technology to enhance curriculum & presentationnanharr28
 
A New Approach: Automatically Identify Proper Noun from Bengali Sentence for ...
A New Approach: Automatically Identify Proper Noun from Bengali Sentence for ...A New Approach: Automatically Identify Proper Noun from Bengali Sentence for ...
A New Approach: Automatically Identify Proper Noun from Bengali Sentence for ...Syeful Islam
 
Task-based Language Teaching TBLT
Task-based Language Teaching TBLTTask-based Language Teaching TBLT
Task-based Language Teaching TBLThamedtr
 
TIFLE Proposal
TIFLE ProposalTIFLE Proposal
TIFLE Proposalmaheyman
 
Eurocall2014 SpeakApps Presentation - Speaking Practice
Eurocall2014 SpeakApps Presentation - Speaking PracticeEurocall2014 SpeakApps Presentation - Speaking Practice
Eurocall2014 SpeakApps Presentation - Speaking PracticeSpeakApps Project
 
TPCK: Use of ICT to teach/improve competence in listening to English
TPCK: Use of ICT to teach/improve competence in listening to EnglishTPCK: Use of ICT to teach/improve competence in listening to English
TPCK: Use of ICT to teach/improve competence in listening to Englishpaula hodgson
 

Similar to Copy of btp presentation (20)

Technology for Teaching and Learning.pdf
Technology for Teaching and Learning.pdfTechnology for Teaching and Learning.pdf
Technology for Teaching and Learning.pdf
 
Encouraging autonomy through technology-enhanced tools
Encouraging autonomy through technology-enhanced toolsEncouraging autonomy through technology-enhanced tools
Encouraging autonomy through technology-enhanced tools
 
MULTILINGUAL SPEECH TO TEXT USING DEEP LEARNING BASED ON MFCC FEATURES
MULTILINGUAL SPEECH TO TEXT USING DEEP LEARNING BASED ON MFCC FEATURESMULTILINGUAL SPEECH TO TEXT USING DEEP LEARNING BASED ON MFCC FEATURES
MULTILINGUAL SPEECH TO TEXT USING DEEP LEARNING BASED ON MFCC FEATURES
 
Natural language processing for requirements engineering: ICSE 2021 Technical...
Natural language processing for requirements engineering: ICSE 2021 Technical...Natural language processing for requirements engineering: ICSE 2021 Technical...
Natural language processing for requirements engineering: ICSE 2021 Technical...
 
Polarity detection of movie reviews in
Polarity detection of movie reviews inPolarity detection of movie reviews in
Polarity detection of movie reviews in
 
Unit4task1 nicolasgonzalez diegoparedes
Unit4task1 nicolasgonzalez diegoparedesUnit4task1 nicolasgonzalez diegoparedes
Unit4task1 nicolasgonzalez diegoparedes
 
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
 
Sean_McMinn-Breaking_Down_the_Four_Walls_Mobile_Devices_in_Classroom_Teaching...
Sean_McMinn-Breaking_Down_the_Four_Walls_Mobile_Devices_in_Classroom_Teaching...Sean_McMinn-Breaking_Down_the_Four_Walls_Mobile_Devices_in_Classroom_Teaching...
Sean_McMinn-Breaking_Down_the_Four_Walls_Mobile_Devices_in_Classroom_Teaching...
 
Design Analysis Rules to Identify Proper Noun from Bengali Sentence for Univ...
Design Analysis Rules to Identify Proper Noun  from Bengali Sentence for Univ...Design Analysis Rules to Identify Proper Noun  from Bengali Sentence for Univ...
Design Analysis Rules to Identify Proper Noun from Bengali Sentence for Univ...
 
Introduction to Natural Language Processing
Introduction to Natural Language ProcessingIntroduction to Natural Language Processing
Introduction to Natural Language Processing
 
Using Stanza NLP and TensorFlow to create a summary of a book
Using Stanza NLP and TensorFlow to create a summary of a bookUsing Stanza NLP and TensorFlow to create a summary of a book
Using Stanza NLP and TensorFlow to create a summary of a book
 
NLP applicata a LIS
NLP applicata a LISNLP applicata a LIS
NLP applicata a LIS
 
Using Technology in teaching listening.pptx
Using Technology in teaching listening.pptxUsing Technology in teaching listening.pptx
Using Technology in teaching listening.pptx
 
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
 
Technology to enhance curriculum & presentation
Technology to enhance curriculum &  presentationTechnology to enhance curriculum &  presentation
Technology to enhance curriculum & presentation
 
A New Approach: Automatically Identify Proper Noun from Bengali Sentence for ...
A New Approach: Automatically Identify Proper Noun from Bengali Sentence for ...A New Approach: Automatically Identify Proper Noun from Bengali Sentence for ...
A New Approach: Automatically Identify Proper Noun from Bengali Sentence for ...
 
Task-based Language Teaching TBLT
Task-based Language Teaching TBLTTask-based Language Teaching TBLT
Task-based Language Teaching TBLT
 
TIFLE Proposal
TIFLE ProposalTIFLE Proposal
TIFLE Proposal
 
Eurocall2014 SpeakApps Presentation - Speaking Practice
Eurocall2014 SpeakApps Presentation - Speaking PracticeEurocall2014 SpeakApps Presentation - Speaking Practice
Eurocall2014 SpeakApps Presentation - Speaking Practice
 
TPCK: Use of ICT to teach/improve competence in listening to English
TPCK: Use of ICT to teach/improve competence in listening to EnglishTPCK: Use of ICT to teach/improve competence in listening to English
TPCK: Use of ICT to teach/improve competence in listening to English
 

Recently uploaded

Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 

Recently uploaded (20)

Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 

Copy of btp presentation

  • 1. Audiobook player on mobile platform Enabling audio book towards vocabulary acquisition. Mentor: Dr. S.P. Kishore Co-mentors: Dr. Radhika Mamidi, Dr. Priyanka Srivastava, and Lavanya Prahallad - Chandan Singh (201101194) - Harsh Vardhan Shukla (201101173)
  • 2. Problem Statement ● The objective is to build an audio book player on android platform. ● The novelty of the work lies in developing a framework where it enables an audio book towards vocabulary acquisition.
  • 3. Work so far ● Implemented a basic audio book player with play/pause controls and chapter navigation. ● Library scanner. ● Not successful with aligning text with audio so far. ● Works with Daisy 2.02 books.
  • 4. Progress with Chapter tests ● Built a summarizing tool which summarizes an entire block of text into few sentences which is an user defined parameter. ● We plan to use this summarizer to extract important facts from the chapter and then frame questions based on these sentences to make questions for comprehensive testing. ● We’ve come up with two summarizers based on two concepts: ○ tf-idf weighting ○ scores of a sentence based on
  • 5. Tasks Remaining ● Incorporate the format specified by the other team instead of Daisy 2.02. ● Incorporate dictionary and chapter tests.
  • 6. Milestones ● 1st Release: ○ Understand existing softwares and decide features & milestones. ○ Come up with a basic design of the application. ● 2nd Release (before summers) : ○ A working audiobook player with dictionary. ○ English will be the only supported language. ○ First report. ● During summers: ○ Application will be tested on a small audience and results will be collected as how it helps in vocabulary acquisition.
  • 7. Milestones (contd.) ● 3rd Release : ○ Modify application based on feedback. ○ Brush up UI. ○ Add chapter tests. ● 4th Release (Final release): ○ Make the application multilingual, with special focus on Indian native languages. ○ Fix any issues and incorporate any suggested feature if possible (based on feedback) ○ Final Report.
  • 9. References 1. Vocabulary Acquisition: The Research and Its Pedagogical Implications - Peter Duppenthaler 2. Lightly supervised recognition for automatic alignment of large coherent speech recordings - Norbert Braunschweiler , M.J.F. Gales , Sabine Buchholz 3. Towards Fully Automatic Annotation of Audiobooks for TTS - Olivier Boeffard, Laure Charonnat, Sébastien Le Maguer, Damien Lolive, Gaëlle Vidal 4. Using Audio Books to Improve Reading and Academic Performance - Joel R. Montgomery, EdD 5. An Educator’s Guide to Utilizing Audiobooks in the Classroom - By Dr. Frank Serafini 6. Natural Language Processing techniques in Text-To-Speech synthesis and Automatic Speech Recognition - Alexandre Trilla 7. A GRAPHEME-BASED METHOD FOR AUTOMATIC ALIGNMENT OF SPEECH AND TEXT DATA - Adriana Stan 8. Improving English Pronunciation: An Automated Instructional Approach - Sugata Mitra,a James Tooley,b Parimala Inamdar 9. A Vocabulary Acquisition Framework using Audio Books - Meena Vundela, Swetha A.V.S.L.G and Kishore Prahallad