£121.37

Springer Speech-to-Speech Translation Machine Learning Book

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Description

Explore the foundations of advanced machine translation with Speech-to-Speech Translation: A Massively Parallel Memory-Based Approach. This technical volume from Springer describes one of the first successful speech-to-speech machine translation systems. The system is designed to accept speaker-independent continuous speech and convert it into audio output translations. This book details how subsequent versions of this translation system were implemented on massively parallel computers. These implementations achieved impressive translation performance in the millisecond range. By studying this work, readers gain insight into the projects that triggered various massively parallel artificial intelligence developments. It is a foundational resource for those studying computer science, AI, and machine learning within the Springer International Series in Engineering and Computer Science.

Key Features

Covers one of the world's first successful speech-to-speech machine translation systems.

Explains how systems process speaker-independent continuous speech into audio output.

Details the implementation of translation systems on massively parallel computers.

Provides technical insight into achieving translation performance in the millisecond range.

Offers a foundation for understanding massively parallel artificial intelligence projects.

Part of the Springer International Series in Engineering and Computer Science.

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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