Voice information retrieval is a technique that provides Information Retrieval System with the capacity to transcribe spoken queries and use the text output for information search. CIS is a field of research that involves studying the situation, motivations, and methods for people working in a collaborative group for information seeking projects, as well as building a system for supporting such activities. Humans find it easier to communicate and express ideas via speech. Existing voice search like Google and other mainstream voice search does not support collaborative search. The spoken speeches passed through the ASR for feature extraction using MFCC and HMM, Viterbi algorithm precisely for pattern matching. The result of the ASR is then passed as input into CIS System, results is then filtered to have an aggregate result. The result from the simulation shows that our model was able to achieve 81.25% transcription accuracy.

翻译：语音信息检索是一种技术,它使信息检索系统能够对口头询问进行抄录,并使用文本输出进行信息搜索;独联体是一个研究领域,涉及研究信息搜索项目合作小组人员的情况、动机和方法,以及建立支持这类活动的系统;人类发现通过语言交流和表达想法比较容易;现有语音搜索,如谷歌和其他主流语音搜索,并不支持协作搜索;通过ASR进行特征提取的语音发言,使用MFCC和HMM, Viterbi算法,精确用于模式匹配;然后将ASR的结果作为输入独联体系统的投入,然后对结果进行过滤,以产生总体结果;模拟的结果显示,我们的模型能够达到81.25%的抄录准确度。