Robustness in Automatic Speech Recognition: Fundamentals and Applications

✍ Scribed by Jean-Claude Junqua, Jean-Paul Haton (auth.)

Publisher: Springer US
Year: 1996
Tongue: English
Leaves: 456
Series: The Kluwer International Series in Engineering and Computer Science 341
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology. I still remember the excitement in the late seventies when Texas Instruments came up with a toy named "Speak-and-Spell" which was based on a VLSI chip containing the state-of-the-art linear prediction synthesizer. This caused a speech technology fever among the electronics industry. Particularly. applications of automatic speech recognition were rigorously attempt ed by many companies. some of which were start-ups founded just for this purpose. Unfortunately. it did not take long before they realized that automatic speech rec ognition technology was not mature enough to satisfy the need of customers. The fever gradually faded away. In the meantime. constant efforts have been made by many researchers and engi neers to improve the automatic speech recognition technology. Hardware capabilities have advanced impressively since that time. In the past few years. we have been witnessing and experiencing the advent of the "Information Revolution." What might be called the second surge of interest to com mercialize speech technology as a natural interface for man-machine communication began in much better shape than the first one. With computers much more powerful and faster. many applications look realistic this time. However. there are still tremendous practical issues to be overcome in order for speech to be truly the most natural interface between humans and machines.

✦ Table of Contents

Front Matter....Pages i-xxx
Front Matter....Pages 1-1
Nature and Perception of Speech Sounds....Pages 3-35
Background on Speech Analysis....Pages 37-71
Fundamentals of Automatic Speech Recognition....Pages 73-124
Front Matter....Pages 125-125
Speaker Variability and Specificity....Pages 127-153
Dealing with Noisy Speech and Channel Distortions....Pages 155-189
Front Matter....Pages 191-191
The Current Technology and Its Limits: An Overview....Pages 193-206
Towards Robust Speech Analysis....Pages 207-231
On the Use of a Robust Speech Representation....Pages 233-272
ASR of Noisy, Stressed, and Channel Distorted Speech....Pages 273-323
Word-Spotting and Rejection....Pages 325-345
Spontaneous Speech....Pages 347-369
On the use of Knowledge in ASR....Pages 371-392
Application Domain, Human Factors, and Dialogue....Pages 393-428
Back Matter....Pages 429-440

✦ Subjects

Signal, Image and Speech Processing; Electrical Engineering

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