@INPROCEEDINGS{1214Jin2009, AUTHOR = {Shan Jin and Thomas Sikora}, TITLE = {Combining Confusion Networks with probabilistic phone matching for open-vocabulary keyword spotting in spontaneous speech signal}, BOOKTITLE = {17th in a series of conferences organised by the European Association for Signal, Speech, and Image Processing (EUSIPCO 2009)}, YEAR = {2009}, MONTH = aug, ORGANIZATION = {The European Association for Signal Processing (EURASIP)}, ADDRESS = {Glasgow, Scotland}, ABSTRACT = {In this paper, we study several methods for keyword spotting in spontaneous speech signal. Novel method combining probabilistic phone matching (PSM) approach with word confusion networks (WCN) is proposed for open-vocabulary keyword spotting task. This method runs keyword spotting on multi-level transcriptions (WCN and phone-onebest). We propose to use classical string matching for word spotting on WCN. At the same time probabilistic string matching is used for acoustic word spotting on phone-onebest transcription. It is verified that the novel hybrid method outperforms WCN-based and PSM-based approaches in-vocabulary and out-of-vocabulary (OOV) keywords.} }