An AAC Application Using Speaking Partner Speech Recognition to Automatically Produce Contextually Relevant Utterances: Objective Results
| Autor: | D. Jeffery Higginbotham, Bruce Wisenburn |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Male
Communication Aids for Disabled Computer science media_common.quotation_subject Speech recognition Rate of speech computer.software_genre Speech Recognition Software User-Computer Interface Speech and Hearing Humans Speech Conversation Interface design media_common business.industry Communication Rehabilitation Equipment Design Noun phrase Communication aid Female Artificial intelligence Alphabet business computer Natural language processing |
| Zdroj: | Augmentative and Alternative Communication. 24:100-109 |
| ISSN: | 1477-3848 0743-4618 |
| DOI: | 10.1080/07434610701740448 |
| Popis: | The purpose of this study was to evaluate the efficacy of a computer program, Converser, which uses the speech recognition of the speaking partner to predict contextually appropriate utterances and to store relevant noun phrases. The dyads (which consisted of a program user and a speaking partner) tested Converser in two communication tasks: a conversation and an interview. Two conditions were applied: A simple communication aid with an alphabet layout without Converser (alpha-only condition), and an identical aid with Converser (alpha-converser condition). Objective measurements were made concerning the program user's rate and Converser usage. The results showed that the alpha-converser condition generated a faster communication rate than the alpha-only condition. Also, the program users utilized the stored noun phrases in their productions more than the full utterances. Converser allowed for periodic instances of a fast rate of speech, which appeared to have a positive impact on communication. |
| Databáze: | OpenAIRE |
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