  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.
