Keyword Spotting: An Audio Mining Technique in Speech Processing – A Survey
Iosr Journals, E. Chandra, K. A. Senthildevi · Figshare · 2015
Audio mining is a branch of data mining that is used to search and analyze the contents of audio signal automatically. Keyword spotting (KWS) is an important audio mining technique which searches audio signals for finding the occurrences of given keyword within the input spoken utterance. KWS provides a satisfactory audio mining solution for various tasks like spoken document indexing and retrieval. The research in audio mining has received increasing attention due to the increase in amount of audio content in the Internet, telephone call conversation and other sources. KWS is classified according to the type of input speech content and the method used for spotting. A number of approaches have been used in keyword spotting like DTW, HMM, Neural Network, Vector quantization and other approaches. KWS has been utilized in a broad variety of applications. A majority of such applications relate to audio indexing and phone call routing. In this paper, various audio mining methods and keyword spotting techniques are discussed.