1995
DOI: 10.1073/pnas.92.22.10023
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What does voice-processing technology support today?

Abstract: This paper describes the state of the art in applications ofvoice-processing technologies. In the first part, technologies concerning the implementation of speech recognition and synthesis algorithms are described. Hardware technologies such as microprocessors and DSPs (digital signal processors) are discussed. Software development environment, which is a key technology in developing applications software, ranging from DSP software to support software also is described. In the second part, the state of the art… Show more

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Cited by 5 publications
(3 citation statements)
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“…Other hands/eyes-busy applications that have benefited from voice interaction include data entry and machine control in factories and field applications (2), access to information for military command-and-control, cockpit management (3,4) (11,12), yellow-pages information, or bank account balances (8), and receive the answer auditorily. This general area of human-computer interaction is much more difficult to implement than simple operator services, because the range of caller behavior is quite broad, and speech understanding and dialogue participation is required, rather than just word recognition.…”
Section: Hand/eyes-busy Tasksmentioning
confidence: 99%
“…Other hands/eyes-busy applications that have benefited from voice interaction include data entry and machine control in factories and field applications (2), access to information for military command-and-control, cockpit management (3,4) (11,12), yellow-pages information, or bank account balances (8), and receive the answer auditorily. This general area of human-computer interaction is much more difficult to implement than simple operator services, because the range of caller behavior is quite broad, and speech understanding and dialogue participation is required, rather than just word recognition.…”
Section: Hand/eyes-busy Tasksmentioning
confidence: 99%
“…Thus, we focus on reviewing objective metrics for system evaluation that are commonly acknowledged in the speech interface research arena. Nakatsu and Suzuki (1994) have adopted the following objective metrics for speech application evaluation:…”
Section: Evaluation Metricsmentioning
confidence: 99%
“…Microphone placement can affect accuracy, because microphones have optimal frequency response characteristics based on their distance from the sound source. 17 Thus, the microphone should be placed at a consistent distance from use to use, ideally an inch away from the user's mouth.…”
Section: Trialmentioning
confidence: 99%