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Springer Speech-to-Speech Translation: Parallel Memory-Based Approach

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Description

Speech-to-Speech Translation: a Massively Parallel Memory-Based Approach documents one of the earliest successful speech-to-speech machine translation systems capable of processing speaker-independent continuous speech and delivering audio output translations. This volume explores the technical architecture and implementation of successive versions deployed across massively parallel computers, achieving translation performance in the milliseconds range. Part of The Springer International Series in Engineering and Computer Science (Volume 260), this book examines how the system's breakthrough performance sparked subsequent massively parallel projects and advanced research in machine translation and artificial intelligence. Ideal for computer scientists, engineers, and researchers studying computational linguistics, parallel processing architectures, and the evolution of automatic speech translation technology.

Key Features

Documents one of the world's first successful speech-to-speech machine translation systems with speaker-independent continuous speech input capabilities.

Details implementations across massively parallel computers achieving milliseconds-range translation performance for real-time processing.

Part of The Springer International Series in Engineering and Computer Science Volume 260, providing comprehensive technical depth on parallel computing approaches.

Covers memory-based translation methodologies and their application to audio input and audio output speech systems.

Explores the foundational work that inspired subsequent massively parallel artificial intelligence and machine translation research projects.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 December 1993
Listed Since
15 January 2007

Barcode

No barcode data available

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