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TEL 355: Communication and Information Systems in Organizations

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... natural progression from touch-tone systems to natural speech ... Touch-Tone Replacement. Recognizes spoken letters and words that represent the keypad ... – PowerPoint PPT presentation

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Title: TEL 355: Communication and Information Systems in Organizations


1
TEL 355 Communication and Information Systems in
Organizations
  • Speech-Enabled Interactive Voice
  • Response Systems
  • Professor John F. Clark

2
Interactive Voice Response
  • Serves as the bridge between people and computer
    databases via phone lines
  • Used in a variety of applications including stock
    trades, account information and transactions,
    ticket reservations, etc.
  • Represents the natural progression from
    touch-tone systems to natural speech recognition
    in telephony-based self-service

3
Speech Recognition Spectrum
  • Touch-Tone Replacement
  • Recognizes spoken letters and words that
    represent the keypad
  • Directed Dialogue
  • Recognizes fairly simple words and phrases that
    are clearly enunciated
  • Natural Language
  • Recognizes more complex phrases and sentences
    spoken in a conversational manner

4
History of IVR
  • Significant research and development by ARPA
    since the late 80s
  • Early Discrete Number Recognition required
    careful enunciation and separation
  • Continuous Speech Recognition can handle unbroken
    strings of words
  • But, recognition of free-form conversation is not
    yet a reality
  • However, it is commercially viable in a number of
    customer service applications

5
Natural Language Technology
  • Phonetic Speech Recognition
  • Breaks spoken words into fundamental sound units
    called phonemes
  • Enables greater accuracy in recognizing larger
    vocabularies
  • Language Modeling
  • Makes the best guess for sounds that are not
    adequately recognized
  • Compares sounds to a database of sounds and
    creates a confidence score for possible meaning

6
Rationale for IVR
  • Reduces spiraling labor costs
  • Higher call volumes make IVR a more
    cost-effective solution
  • Increased processing power means newer systems
    are faster and more accurate
  • Software and hardware costs continue to decrease
  • IVRs are less costly and faster to implement than
    Web-based solutions

7
Benefits of IVR
  • Dramatic reduction in operational costs
  • Improves productivity
  • A higher percentage of calls can be partially or
    fully automated
  • Frees the service agent from many routine tasks
  • Savings in overhead costs
  • As a result of decreased labor expenses
  • As a result of decreased real estate requirements
    and related infrastructure

8
IVR Capabilities
  • Speaker-independent phonetic recognition
  • Natural language and number recognition
  • Continuous alpha-numeric recognition
  • Modular approach to software development
  • Barge-in capability
  • Speaker-trained voice verification
  • Support for multiple languages

9
Commercial Viability of IVR
  • Customers interact with business via phone
  • IVR reliability and accuracy is over 90
  • By 2003, 30 of new automated lines in call
    centers will understand speech
  • Directed speech recognition application pays for
    itself in 9-18 months in call centers with more
    than 50 agents
  • Total revenues for speech technology and services
    in telephony will exceed 38 billion by 2003

10
Current Uses for IVR
  • Package tracking
  • Stock quotes and trading
  • Insurance claims
  • Travel arrangements
  • Prescription refills
  • Restaurant reservations
  • Banking activities
  • Interaction with government agencies
  • Directory Assistance

11
IVR Security
  • Verbal security steps such as PIN numbers are
    easier to accomplish for the user than touch-tone
    keypad entry
  • Voice Print Technology
  • Tests vocal characteristics of utterances to
    verify the identity of the speaker
  • Especially beneficial for providers of financial
    services and telecommunications services where
    much information is subject to fraud

12
Continuous Improvement Cycle
  • Design
  • Project scope, system architecture, user
    interface
  • Develop
  • Prototype application and production application
  • Test
  • Evaluate prototype, production pilot testing
  • Deploy
  • Production deployment, user interface tuning
  • Monitor
  • Post-production evaluation, monitoring use

13
Development and Deployment Strategy, Part I
Design
  • Determine the project scope
  • Explore business objectives and goals
  • Evaluate how users will use the system and the
    kind of transactions you will support
  • Determine the system architecture
  • Decide on specific applications
  • Determine the specifications for applications
  • Plan for a smooth transition
  • Assign development responsibilities and develop
    budgets

14
Development and Deployment Strategy, Part II
Develop
  • Develop prototype applications
  • Subsets of your systems ultimate functionality
  • Observe and assess the experiences of a select
    group of users
  • Determine all the features to be included in your
    production application
  • Think about connectivity with data,
    telecommunications, and information systems

15
Development and Deployment Strategy, Part III
Test
  • Reduce risk by testing with targeted end users
    and conduct focus groups
  • Observe and evaluate minimally-trained workers in
    realistic settings
  • Implement a pilot test in an actual business
    setting with live, untrained callers as a
    preliminary, limited deployment
  • Identify desired improvements

16
Development and Deployment Strategy, Part IV
Deploy
  • Fully deploy the IVR system
  • Manage the upgrade so that it doesnt affect
    system reliability
  • Tune the user interface and vocabulary to the
    production environment
  • Ensure the IVR system is consistently satisfying
    callers and meeting your business objectives

17
Development and Deployment Strategy, Part V
Monitor
  • Track critical usability indicators
  • Recognition accuracy
  • Transaction completion rates
  • Create usage reports and detailed call statistics
  • Design and implement evaluation tools such as
    customer satisfaction surveys
  • Fine-tune your system for maximum performance
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