Path of Speech Technologies in Computer Assisted Language Learning

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Acoustic Displays
acoustic visualization tools
ASR
automatic
automatic pronunciation assessment
Automatic Scoring
CALICO Journal
Call Research
Cambridge University
Category=CFX
Category=CJA
Category=JNV
Computer Assisted Language Learning
computer-based language instruction
eq_bestseller
eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
ISI
language acquisition technology
modern
OPI
pronunciation
Pronunciation Assessment
Pronunciation Instruction
Pronunciation Score
Pronunciation Training
pronunciation training systems
Pronunciation Tutors
reading
Reading Tutor
recognition
recognizer
Segmental Errors
Slim
speech pattern analysis
Speech Perception
Speech Recognition
Speech Recognizer
Speech Synthesis
Speech Technologies
speech technology for language learners
Spoken Language Skills
Sri
Sri International
standard
synthesizer
training
tutor

Product details

  • ISBN 9780415543002
  • Weight: 500g
  • Dimensions: 152 x 229mm
  • Publication Date: 23 Feb 2012
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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This collection examines the promise and limitations for computer-assisted language learning of emerging speech technologies: speech recognition, text-to-speech synthesis, and acoustic visualization. Using pioneering research from contributors based in the US and Europe, this volume illustrates the uses of each technology for learning languages, the problems entailed in their use, and the solutions evolving in both technology and instructional design. To illuminate where these technologies stand on the path from research toward practice, the book chapters are organized to reflect five stages in the maturation of learning technologies: basic research, analysis of learners’ needs, adaptation of technologies to meet needs, development of prototypes to incorporate adapted technologies, and evaluation of prototypes. The volume demonstrates the progress in employing each class of speech technology while pointing up the effort that remains for effective, reliable application to language learning.

Melissa Holland directs research in multilingual technology at U.S. Army Research Lab, including machine translation, speech recognition, and document image processing. In the area of computer applications for language learning, she has edited a book (Erlbaum) on natural language processing and a special issue of CALICO Journal on speech recognition.

F. Pete Fisher is a Senior Electronics Engineer in the Computational and Information Sciences Directorate at the US Army Research Laboratory in Adelphi, MD.