Interactive Voice Response Applications in University Environment

 
IVR Applications
 
Lecture 7:   CSE 490c
 
10/10/2018
 
University of Washington, Autumn 2018
 
1
 
Announcements
 
Homework 3
One page user manual for SMS Application
 
Programming Assignment 1
You should have SMS communication working
You should be planning the business logic of the
application
 
10/10/2018
 
University of Washington, Autumn 2018
 
2
 
Interactive Voice Response (IVR)
 
Voice versus text
Structure of Voice Applications
Examples
 
10/10/2018
 
University of Washington, Autumn 2018
 
3
 
Voice and Text
 
Advantages of Text
 
 
Advantages of Voice
 
10/10/2018
 
University of Washington, Autumn 2018
 
4
 
Interactive Voice Response
 
Applications we hate
 
Robo calls
Automatic surveys
Customer service help lines
 
10/10/2018
 
University of Washington, Autumn 2018
 
5
 
Core Technology
 
Convert Telephony to software
Asterisk: Open Source Software Implementation of a
Private Branch Exchange
Operations
Make calls
Receive calls
Route calls
Record speech
Playback speech
Manipulate speech files
Detect key presses
Automatic Speech Recognition (ASR)
 
10/10/2018
 
University of Washington, Autumn 2018
 
6
 
IVR for Social Good
 
Voice based messaging
Help Lines
Community Information Systems
Redress and reporting
Social Networks
 
10/10/2018
 
University of Washington, Autumn 2018
 
7
 
Voice based messaging
 
Mobile Midwife application
Motech,  Ghana, 2010
Strong formative work
SMS and Voice calls
Alerts and reminders
Actionable information
Educational information
Messages in English, Senya, Fante
Topic identification
Expensive to create local language messages
Strong preference for voice messages
Cost issues not resolved
 
10/10/2018
 
University of Washington, Autumn 2018
 
8
 
Help lines
 
HealthLine Pakistan (2008)
Health information by voice
Touch tone
Press 1 for Malaria, Press 2 for Diarrhea, Press 3 for
Speech
What disease do you want to hear about?
“Poor man’s speech recognition”
Phonemes trained on English
Represent Sindhi words with phonemes
 
10/10/2018
 
University of Washington, Autumn 2018
 
9
 
Community Information Systems
 
Awaaz De
Voice Forum
Farmer information recorded by farmers
Farmers call in to leave advice on farming
Other farmers call in to listen to advice
Farmers preferred getting information from other
farmers as opposed to agricultural experts
Neil Patel developed Awaaz De as PhD project from
Stanford,  moved to Gujarat and started a social
enterprise
 
10/10/2018
 
University of Washington, Autumn 2018
 
10
 
Redress and Reporting
 
CGNet Swara
Report local problems
Ila Dhageyso
Reporting problems to Government of Somaliland
Government reporting lines
 
Challenge of processing voice input
Need for taking actions
Governments don’t always want to hear this info
 
10/10/2018
 
University of Washington, Autumn 2018
 
11
 
Voice Based  Social Networks
 
Posting voice messages
Jokes, Songs, Poems
Listening to posts of others
Mechanisms for selecting posts,  ranking posts
Content moderation is a challenge
User moderation can work
Example systems
Sangeet Swara
Baang
Deployments have had viral growth
Strong uptake by visually impaired
 
10/10/2018
 
University of Washington, Autumn 2018
 
12
 
IVR Challenge
 
 
10/10/2018
 
University of Washington, Autumn 2018
 
13
 
Sustainability:  Who pays
 
Cost per connection relatively high
Service is a public good
Government covers the cost
Donors Pay
Subsidies
Service generates income
Advertising models
Linked to income generation
Service supports a business
Job Listings
Service delivers value to operator
Agricultural cooperative
Information reporting
 
10/10/2018
 
University of Washington, Autumn 2018
 
14
Slide Note
Embed
Share

Explore the world of Interactive Voice Response (IVR) applications in an educational setting through examples like SMS communication, voice applications, advantages of voice and text, technology core features, and social good initiatives. Discover how IVR technology is used for educational purposes and social impact, along with a case study on voice-based messaging in Ghana. Learn about creating voice applications for help lines and community information systems, leveraging Asterisk software, and implementing IVR for various social services.

  • IVR applications
  • University
  • SMS communication
  • Voice-based messaging
  • Educational technology

Uploaded on Oct 04, 2024 | 0 Views


Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. Download presentation by click this link. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

E N D

Presentation Transcript


  1. IVR Applications Lecture 7: CSE 490c 10/10/2018 University of Washington, Autumn 2018 1

  2. Announcements Homework 3 One page user manual for SMS Application Programming Assignment 1 You should have SMS communication working You should be planning the business logic of the application 10/10/2018 University of Washington, Autumn 2018 2

  3. Interactive Voice Response (IVR) Voice versus text Structure of Voice Applications Examples 10/10/2018 University of Washington, Autumn 2018 3

  4. Voice and Text Advantages of Text Advantages of Voice 10/10/2018 University of Washington, Autumn 2018 4

  5. Interactive Voice Response Applications we hate Robo calls Automatic surveys Customer service help lines 10/10/2018 University of Washington, Autumn 2018 5

  6. Core Technology Convert Telephony to software Asterisk: Open Source Software Implementation of a Private Branch Exchange Operations Make calls Receive calls Route calls Record speech Playback speech Manipulate speech files Detect key presses Automatic Speech Recognition (ASR) 10/10/2018 University of Washington, Autumn 2018 6

  7. IVR for Social Good Voice based messaging Help Lines Community Information Systems Redress and reporting Social Networks 10/10/2018 University of Washington, Autumn 2018 7

  8. Voice based messaging Mobile Midwife application Motech, Ghana, 2010 Strong formative work SMS and Voice calls Alerts and reminders Actionable information Educational information Messages in English, Senya, Fante Topic identification Expensive to create local language messages Strong preference for voice messages Cost issues not resolved 10/10/2018 University of Washington, Autumn 2018 8

  9. Help lines HealthLine Pakistan (2008) Health information by voice Touch tone Press 1 for Malaria, Press 2 for Diarrhea, Press 3 for Speech What disease do you want to hear about? Poor man s speech recognition Phonemes trained on English Represent Sindhi words with phonemes 10/10/2018 University of Washington, Autumn 2018 9

  10. Community Information Systems Awaaz De Voice Forum Farmer information recorded by farmers Farmers call in to leave advice on farming Other farmers call in to listen to advice Farmers preferred getting information from other farmers as opposed to agricultural experts Neil Patel developed Awaaz De as PhD project from Stanford, moved to Gujarat and started a social enterprise 10/10/2018 University of Washington, Autumn 2018 10

  11. Redress and Reporting CGNet Swara Report local problems Ila Dhageyso Reporting problems to Government of Somaliland Government reporting lines Challenge of processing voice input Need for taking actions Governments don t always want to hear this info 10/10/2018 University of Washington, Autumn 2018 11

  12. Voice Based Social Networks Posting voice messages Jokes, Songs, Poems Listening to posts of others Mechanisms for selecting posts, ranking posts Content moderation is a challenge User moderation can work Example systems Sangeet Swara Baang Deployments have had viral growth Strong uptake by visually impaired 10/10/2018 University of Washington, Autumn 2018 12

  13. IVR Challenge 10/10/2018 University of Washington, Autumn 2018 13

  14. Sustainability: Who pays Cost per connection relatively high Service is a public good Government covers the cost Donors Pay Subsidies Service generates income Advertising models Linked to income generation Service supports a business Job Listings Service delivers value to operator Agricultural cooperative Information reporting 10/10/2018 University of Washington, Autumn 2018 14

More Related Content

giItT1WQy@!-/#giItT1WQy@!-/#giItT1WQy@!-/#