Robustness in Automatic Speech Recognition: Fundamentals and Applications
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 engineers 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.
1102341650
Robustness in Automatic Speech Recognition: Fundamentals and Applications
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 engineers 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.
219.99 In Stock
Robustness in Automatic Speech Recognition: Fundamentals and Applications

Robustness in Automatic Speech Recognition: Fundamentals and Applications

Robustness in Automatic Speech Recognition: Fundamentals and Applications

Robustness in Automatic Speech Recognition: Fundamentals and Applications

Hardcover(1996)

$219.99 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

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 engineers 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.

Product Details

ISBN-13: 9780792396468
Publisher: Springer US
Publication date: 10/31/1995
Series: The Springer International Series in Engineering and Computer Science , #341
Edition description: 1996
Pages: 440
Product dimensions: 6.14(w) x 9.21(h) x 0.36(d)

Table of Contents

A Speech Communication by Humans and Machines.- 1 Nature and Perception of Speech Sounds.- 2 Background on Speech Analysis.- 3 Fundamentals of Automatic Speech Recognition.- B Robustness In ASR: Problems And Issues.- 4 Speaker Variability and Specificity.- 5 Dealing With Noisy Speech and Channel Distortions.- C Possible Solutions and Some Perspectives.- 6 The Current Technology and Its Limits: An Overview.- 7 Towards Robust Speech Analysis.- 8 On the Use of a Robust Speech Representation.- 9 ASR of Noisy, Stressed, and Channel Dis-Torted Speech.- 10 Word-Spotting and Rejection.- 11 Spontaneous Speech.- 12 On the Use of Knowledge in ASR.- 13 Application Domain, Human Factors, and Dialogue.
From the B&N Reads Blog

Customer Reviews