Exemplar inspired strategies for low resource spoken keyword search in Swahili
We present exemplar inspired low resource spoken keyword search strategies for acoustic modeling, keyword verification, and system combination. This state of the art system was developed by the SINGA team in the context of the 2015 NIST Open Keyword Search Evaluation (OpenKWS15) using conversational Swahili provided by the IARPA Babel program. In this work, we elaborate on the following: (1) exploiting exemplar training samples to construct a non parametric acoustic model using kernel density estimation at test time; (2) rescoring hypothesized keyword detections through quantifying their acoustic similarity with exemplar training samples; (3 extending our previously proposed system combination approach to incorporate prosody features of exemplar keyword samples.
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)