公开(公告)号：US07831427B2

公开(公告)日：2010-11-09

申请号：US11765923

申请日：2007-06-20

申请人： Stephen Frederick Potter ,  Tal Saraf ,  David Gareth Ollason ,  Steve Sung-Nam Chang

发明人： Stephen Frederick Potter ,  Tal Saraf ,  David Gareth Ollason ,  Steve Sung-Nam Chang

IPC分类号： G10L15/28

CPC分类号： G10L15/26

摘要： Monitoring a spoken-word audio stream for a relevant concept is disclosed. A speech recognition engine may recognize a plurality of words from the audio stream. Function words that do not indicate content may be removed from the plurality of words. A concept may be determined from at least one word recognized from the audio stream. The concept may be determined via a morphological normalization of the plurality of words. The concept may be associated with a time related to when the at least one word was spoken. A relevance metric may be computed for the concept. Computing the relevance metric may include assessing the temporal frequency of the concept within the audio stream. The relevance metric for the concept may be based on respective confidence scores of the at least one word. The concept, time, and relevance metric may be displayed in a graphical display.

摘要翻译： 公开了监听相关概念的口语字音频流。 语音识别引擎可以从音频流识别多个单词。 可以从多个单词中去除不表示内容的功能词。 可以从从音频流识别的至少一个字确定概念。 该概念可以通过多个单词的形态归一化来确定。 该概念可能与与何时发出至少一个字有关的时间相关联。 可以为该概念计算相关性度量。 计算相关性度量可以包括评估音频流内概念的时间频率。 该概念的相关性度量可以基于至少一个单词的相应置信度得分。 概念，时间和相关性度量可以显示在图形显示中。

公开(公告)号：US20080319750A1

公开(公告)日：2008-12-25

申请号：US11765923

申请日：2007-06-20

申请人： Stephen Frederick Potter ,  Tal Saraf ,  David Gareth Ollason ,  Steve Sung-Nam Chang

发明人： Stephen Frederick Potter ,  Tal Saraf ,  David Gareth Ollason ,  Steve Sung-Nam Chang

IPC分类号： G10L15/28

CPC分类号： G10L15/26

摘要： Monitoring a spoken-word audio stream for a relevant concept is disclosed. A speech recognition engine may recognize a plurality of words from the audio stream. Function words that do not indicate content may be removed from the plurality of words. A concept may be determined from at least one word recognized from the audio stream. The concept may be determined via a morphological normalization of the plurality of words. The concept may be associated with a time related to when the at least one word was spoken. A relevance metric may be computed for the concept. Computing the relevance metric may include assessing the temporal frequency of the concept within the audio stream. The relevance metric for the concept may be based on respective confidence scores of the at least one word. The concept, time, and relevance metric may be displayed in a graphical display.

摘要翻译： 公开了监听相关概念的口语字音频流。 语音识别引擎可以从音频流识别多个单词。 可以从多个单词中去除不表示内容的功能词。 可以从从音频流识别的至少一个字确定概念。 该概念可以通过多个单词的形态归一化来确定。 该概念可能与与何时发出至少一个字有关的时间相关联。 可以为该概念计算相关性度量。 计算相关性度量可以包括评估音频流内概念的时间频率。 该概念的相关性度量可以基于至少一个单词的相应置信度得分。 概念，时间和相关性度量可以显示在图形显示中。