Automatic Speech Recognition by Kai-Fu Lee
Speech Recognition has a long history of being one of the difficult problems in Artificial Intelligence and Computer Science. As one goes from problem solving tasks such as puzzles and chess to perceptual tasks such as speech and vision, the problem characteristics change dramatically: knowledge poor to knowledge rich; low data rates to high data rates; slow response time (minutes to hours) to instantaneous response time. These characteristics taken together increase the computational complexity of the problem by several orders of magnitude. Further, speech provides a challenging task domain which embodies many of the requirements of intelligent behavior: operate in real time; exploit vast amounts of knowledge, tolerate errorful, unexpected unknown input; use symbols and abstractions; communicate in natural language and learn from the environment. Voice input to computers offers a number of advantages. It provides a natural, fast, hands free, eyes free, location free input medium. However, there are many as yet unsolved problems that prevent routine use of speech as an input device by non-experts. These include cost, real time response, speaker independence, robustness to variations such as noise, microphone, speech rate and loudness, and the ability to handle non-grammatical speech. Satisfactory solutions to each of these problems can be expected within the next decade. Recognition of unrestricted spontaneous continuous speech appears unsolvable at present. However, by the addition of simple constraints, such as clarification dialog to resolve ambiguity, we believe it will be possible to develop systems capable of accepting very large vocabulary continuous speechdictation.-
Foundations of Knowledge Acquisition
-
Satellite Communications
-
Open Source GIS
-
Nonholonomic Motion Planning
-
A Pyramid Framework for Early Vision
-
A General Model of Legged Locomotion on Natural Terrain
-
Biometrics
-
On-Chip ESD Protection for Integrated Circuits
-
VHDL '92
-
Any Time, Anywhere Computing
-
Speech and Human-Machine Dialog
-
Computer Analysis of Visual Textures
-
Silicon-on-Insulator Technology
-
Bayesian Approach to Image Interpretation
-
Power Trade-offs and Low-Power in Analog CMOS ICs
-
Analog VLSI Neural Networks
-
Sigma Delta A/D Conversion for Signal Conditioning
-
CMOS Current Amplifiers
-
Adaptive Techniques for Mixed Signal System on Chip
-
Wide-Bandwidth High Dynamic Range D/A Converters
-
Color Theory and Modeling for Computer Graphics, Visualization, and Multimedia Applications
-
Performance Evaluation and Applications of ATM Networks
-
Dynamic Characterisation of Analogue-to-Digital Converters
-
The Bounding Approach to VLSI Circuit Simulation
-
Low-Power Low-Voltage Sigma-Delta Modulators in Nanometer CMOS
-
Research Perspectives on Dynamic Translinear and Log-Domain Circuits
-
High-Frequency Oscillator Design for Integrated Transceivers
-
Methodology for the Digital Calibration of Analog Circuits and Systems
-
Mixed-Signal Layout Generation Concepts
-
Calibration Techniques in Nyquist A/D Converters
-
Distortion Analysis of Analog Integrated Circuits
-
Integrated Image and Graphics Technologies
-
Modeling and Simulation of Mixed Analog-Digital Systems
-
Design of Very High-Frequency Multirate Switched-Capacitor Circuits
-
A High Performance Architecture for Prolog
-
Robustness in Automatic Speech Recognition
-
An Introduction to Error Correcting Codes with Applications
-
Application Specific Processors
-
Input/Output in Parallel and Distributed Computer Systems
-
Multithreaded Processor Design
-
Wireless Personal Communications
-
Pipelined Lattice and Wave Digital Recursive Filters
-
Object Orientation with Parallelism and Persistence
-
Binary Decision Diagrams and Applications for VLSI CAD
-
Multimedia Systems and Techniques
-
Feedback-Based Orthogonal Digital Filters
-
Client Data Caching
-
Software Performability: From Concepts to Applications
-
Human Interaction with Complex Systems
| SKU | Unavailable |
| ISBN 13 | 9780898382969 |
| ISBN 10 | 0898382963 |
| Title | Automatic Speech Recognition |
| Author | Kai-Fu Lee |
| Series | The Springer International Series In Engineering And Computer Science |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Kluwer Academic Publishers |
| Year published | 1988-10-31 |
| Number of pages | 207 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |