A voice interactive language instruction system

Bernstein, Jared; Rtischev, D.

doi:10.21437/eurospeech.1991-235

Cited by 3 publications

(1 citation statement)

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“…The Tutor incorporates materials adapted from Weekly Reader (a newsmagazine for children) and other sources. For other research related to using speech recognition to listen to oral reading, see (Bernstein and Rtischev 1991;Phillips, McCandless, and Zue 1992;Russell et al 1996).…”

Section: A Reading Tutor That Listensmentioning

confidence: 99%

Expanding a time-sensitive conversational architecture for turn-taking to handle content-driven interruption

Aist¹

1998

5th International Conference on Spoken Language Processing (ICSLP 1998)

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Turn taking in spoken language systems has generally been push-to-talk or strict alternation (user speaks, system speaks, user speaks, …) with some systems such as telephone-based systems handling barge-in (interruption by the user.) In this paper we describe our time sensitive conversational architecture for turn taking that not only allows alternating turns and barge in, but other conversational behaviors as well. This architecture allows backchanneling, prompting the user by taking more than one turn if necessary, and overlapping speech. The architecture is implemented in a Reading Tutor that listens to children read aloud, and helps them. We extended this architecture to allow the Reading Tutor to interrupt the student based on a non-self-corrected mistake -"content-driven interruption". To the best of our knowledge, the Reading Tutor is thus the first spoken language system to intentionally interrupt the user based on the content of the utterance.

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Section: A Reading Tutor That Listensmentioning

confidence: 99%

Expanding a time-sensitive conversational architecture for turn-taking to handle content-driven interruption

Aist¹

1998

5th International Conference on Spoken Language Processing (ICSLP 1998)

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Skill-specific spoken dialogs in a reading tutor that listens

Aist

1999

CHI '99 Extended Abstracts on Human Factors in Computing Systems - CHI '99

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Project LISTEN's Reading Tutor listens to children read aloud. A controlled study indicates that the Reading Tutor helps children's reading comprehension. However, the results for word attack (decoding) skills and word identification skills were not statistically better than in the control condition. Our thesis therefore proposes to develop skill-specific dialogs based on cognitive skill models and successful tutoring strategies. These dialogs will be dynamically assembled by the Reading Tutor and include text, speech, illustrations, and dialog parameters. We hypothesize that such dialogs will improve elementary students' reading abilities.

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Giving Help and Praise in a Reading Tutor with Imperfect Listening--Because Automated Speech Recognition Means Never Being Able to Say You're Certain

Mostow¹,

Aist²

2013

CALICO

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Human tutors make use of a wide range of input and output modalities, such as speech, vision, gaze, and gesture. Computer tutors are typically limited to keyboard and mouse input. Project LISTEN's Reading Tutor uses speech recognition technology to listen to children read aloud and help them. Why should a computer tutor listen? A computer tutor that listens can give help and praise naturally and unobtrusively. We address the following questions: When and how should a computer tutor that listens help students? When and how should it praise students? We examine how the advantages and disadvantages of speech recognition technology helped shape the design and implementation of the Reading Tutor. Despite its limitations, this technology enables the Reading Tutor to provide patient, unobtrusive, and natural assistance for reading aloud.

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A voice interactive language instruction system

Cited by 3 publications

References 0 publications

Expanding a time-sensitive conversational architecture for turn-taking to handle content-driven interruption

Expanding a time-sensitive conversational architecture for turn-taking to handle content-driven interruption

Skill-specific spoken dialogs in a reading tutor that listens

Giving Help and Praise in a Reading Tutor with Imperfect Listening--Because Automated Speech Recognition Means Never Being Able to Say You're Certain

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