Computational Models of Speech Pattern Processing

By Keith Ponting

Subjects: Physics, Optical pattern recognition, Translators (Computer programs), Computer simulation, Artificial intelligence, Computer science, Speech processing systems, Automatic speech recognition, Mathematical statistics, Engineering

Description: This high-level collection of invited tutorial papers and contributed papers is based on a NATO workshop held in 1997. It surveys and discusses the latest techniques in the field of speech science and technology with a view to working toward a unifying theory of speech pattern processing. The tutorials presenting significant leading-edge research are a valuable resource for researchers and others wishing to extend their knowledge of the field. Most of the papers are sorted into two groups, approaching respectively from the acoustic and the linguistic perspectives. The acoustic papers include reviews of work on human perception, the state of the art in very-large-vocabulary recognition, connectionist and hybrid models, robust approaches, and speaker characteristics. The linguistic papers include work on psycholinguistics, language modeling and adaptation, the use of natural language knowledge sources, multilingual systems, and systems using speech technology.