Speech Supplemented Word Prediction Program
Speech Supplemented Word Prediction Program
批准号:
7484167
负责人:
THOMAS JAKOBS
金额:
$17.82万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-06-14 至 2010-07-31
关键词:
CommunicationComputersCustomDevelopmentDictionaryDisabled PersonsDysarthriaElementsEnvironmentHybridsLanguageLettersMeasuresMethodsModelingMotorNamesPersonal ComputersPersonsPhaseProcessPurposeResearchSavingsSelf-Help DevicesSpeechSpeech DisordersSpeech Recognition SoftwareSystemTechniquesTechnologyTextVisualVoiceWorkWritingdesigndesireimprovedprogramssoundspeech recognitiontool
中文摘要
描述(申请人提供):商业语音识别软件为许多身体有缺陷的人提供了一种重要的计算机访问方法。虽然这种访问方法对于有典型语言障碍的人来说是相当可靠的,但运动性语言障碍(构音障碍)患者目前无法可靠地使用这项技术。这项研究的目的是为这些人提供一种利用他们的语音的独特的辅助设备访问方法。我们将通过继续开发语音补充单词预测程序(SSWPP)来实现这一点,该程序使构音障碍患者能够使用他们的语音能力与个人计算机交互,重点是辅助写作。SSWPP的中心元素是与单词预测结合使用的定制语音识别软件。在第一阶段开发的SSWPP的可行性结果令人兴奋。构音障碍患者在典型句子中平均节省了68%的击键时间。商业上可用的单词预测程序在相同的文本上实现了不到47%的击键节省。第二阶段的设计活动包括改进语音识别引擎,开发优化的麦克风接口,将SSWPP集成到Microsoft Word中,以及开发用于面对面交流的语音到文本显示。残疾人士将对新的SSWPP进行评估。语音补充单词预测程序是为残疾人士提供的一种工具,这些人也有理解语音的困难。这一工具使这些人能够利用他们的语音来减少将文本输入计算机所需的工作量,并更有效地进行口头交流。
英文摘要
DESCRIPTION (provided by applicant): Commercial speech recognition software offers many people with physical limitations an important computer access method. While this access method is reasonably reliable for people with typical speech, people with motor speech disorders (dysarthria) are presently not able to use this technology reliably. The purpose of this research is to provide these people with a unique assistive-device access method that utilizes their speech. We will accomplish this by continuing to develop a Speech Supplemented Word Prediction Program (SSWPP) that enables people with dysarthria to use their speech capabilities to interact with personal computers, with an emphasis on assisted writing. The central element of the SSWPP is custom speech-recognition software used in conjunction with word prediction. The feasibility results for the SSWPP developed during Phase 1 are exciting. The average keystroke savings achieved by people with dysarthria on typical sentences was 68%. Commercially available word prediction programs achieved no better than 47% keystroke savings on the same text. Phase 2 design activities include improving the speech recognition engine, developing an optimized microphone interface, integrating the SSWPP into Microsoft Word, and developing a speech-to-text display for use in face-to-face communication. People with disability will evaluate the new SSWPP. The Speech Supplemented Word Prediction Program is a tool for people with disability, who also have difficult to understand speech. This tool enables these people to use their speech to reduce the amount of work required to enter text into a computer and to communicate verbally more effectively.
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