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    • 1. 发明申请
    • Methods, apparatus and computer programs for automatic speech recognition
    • 用于自动语音识别的方法,装置和计算机程序
    • US20060116877A1
    • 2006-06-01
    • US11255201
    • 2005-10-20
    • John PickeringTimothy PoultneyBenjamin StanifordMatthew Whitbourne
    • John PickeringTimothy PoultneyBenjamin StanifordMatthew Whitbourne
    • G10L15/00
    • G10L15/08G10L2015/025G10L2015/085
    • An automatic speech recognition (ASR) system includes a speech-responsive application and a recognition engine. The ASR system generates user prompts to elicit certain spoken inputs, and the speech-responsive application performs operations when the spoken inputs are recognised. The recognition engine compares sounds within an input audio signal with phones within an acoustic model, to identify candidate matching phones. A recognition confidence score is calculated for each candidate matching phone, and the confidence scores are used to help identify one or more likely sequences of matching phones that appear to match a word within the grammar of the speech-responsive application. The per-phone confidence scores are evaluated against predefined confidence score criteria (for example, identifying scores below a ‘low confidence’ threshold) and the results of the evaluation are used to influence subsequent selection of user prompts. One such system uses confidence scores to select prompts for targetted recognition training—encouraging input of sounds identified as having low confidence scores. Another system selects prompts to discourage input of sounds that were not easily recognised.
    • 自动语音识别(ASR)系统包括语音响应应用和识别引擎。 ASR系统产生用户提示以引出某些口语输入,并且语音响应应用程序在识别出口语输入时执行操作。 识别引擎将输入音频信号中的声音与声学模型中的电话进行比较,以识别候选匹配电话。 为每个候选匹配电话计算识别置信度分数,并且使用置信度分数来帮助识别看起来匹配语音响应应用程序的语法内的单词的一个或多个可能的匹配电话序列。 根据预定义的置信评分标准(例如,识别低于“低置信度”阈值的分数)评估每手机信心分数,并且评估结果用于影响用户提示的后续选择。 一个这样的系统使用置信分数来选择针对性识别训练的提示 - 鼓励被识别为具有低置信度分数的声音输入。 另一个系统选择提示来阻止不容易识别的声音输入。