Spoken Term Detection by N-gram Index with Exact Distance for NTCIR-SpokenDoc2.
Nagisa Sakamoto, Seiichi Nakagawa · 2013
For spoken term detection, it is very important to con-sider Out-of-Vocabulary (OOV). Therefore, sub-word unit based recognition and retrieval methods have been proposed. This paper describes a very fast Japanese spoken term de-tection system that is robust for considering OOV words. We used individual syllables as sub-word unit in continu-ous speech recognition and an n-gram index of syllables in a recognized syllable-based lattice. We propose an n-gram indexing/retrieval method in the syllable lattice for attack-ing OOV, and high speed retrieval. Specially, in this paper, we applied our method to SDPWSspeech and reported the evaluation results.