Advances in Speech Recognition Mobile Environments, Call Centers and Clinics /

Advances in Speech Recognition provides a forum for today’s speech technology industry leaders – drawn from private enterprise and from academic institutions all over the world – to discuss the challenges, advances and aspirations of voice technology, which has become part of the working machinery o...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Neustein, Amy (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US : Imprint: Springer, 2010.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Mobile Environments
  • “Life on-the-Go”: The Role of Speech Technology in Mobile Applications
  • “Striking a Healthy Balance”: Speech Technology in the Mobile Ecosystem
  • “Why Tap When You Can Talk?”: Designing Multimodal Interfaces for Mobile Devices that Are Effective, Adaptive and Satisfying to the User
  • “Your Word is my Command”: Google Search by Voice: A Case Study
  • “Well Adjusted”: Using Robust and Flexible Speech Recognition Capabilities in Clean to Noisy Mobile Environments
  • Call Centers
  • “It’s the Best of All Possible Worlds”: Leveraging Multimodality to Improve Call Center Productivity
  • “How am I Doing?”: A New Framework to Effectively Measure the Performance of Automated Customer Care Contact Centers
  • “Great Expectations”: Making use of Callers’ Experiences from Everyday Life to Design a Satisfying Speech-only Interface for the Call Center
  • “For Heaven’s Sake, Gimme a Live Person!” Designing Emotion-Detection Customer Care Voice Applications in Automated Call Centers
  • “The Truth is Out There”: Using Advanced Speech Analytics to Learn Why Customers Call Help-line Desks and How Effectively They Are Being Served by the Call Center Agent
  • Clinics
  • Dr. “Multi-Task”: Using Speech to Build Up Electronic Medical Records While Caring for Patients
  • “Hands Free”: Adapting the Task–Technology-Fit Model and Smart Data to Validate End-User Acceptance of the Voice Activated Medical Tracking Application (VAMTA) in the United States Military
  • “You’re as Sick as You Sound”: Using Computational Approaches for Modeling Speaker State to Gauge Illness and Recovery
  • “Cry Baby”: Using Spectrographic Analysis to Assess Neonatal Health Status from an Infant’s Cry.