YLAB@RU at Spoken Term Detection Task in NTCIR-10 SpokenDoc-2.
Iori Sakamoto, Kook Cho, Masanori Morise, Yoichi Yamashita · NTCIR · 2013
The development of spoken term detection (STD) techniques, which detect a given word or phrase from spoken documents, is widely conducted in order to realize easy access to large amount of multimedia contents including speech This paper describes improvement of the STD method which is based on the vector quantization (VQ) and has been proposed in NTCIR-9 SpokenDoc. Spoken documents are represented as sequences of VQ codes, and they are matched with a text query to be detected based on the V-P score which measures the relationship between a VQ code and a phoneme. The matching score between VQ codes and phonemes is calculated after normalization for each phoneme in a query term to avoid biased scoring to particular phonemes. The score normalization improves the STD performance by 6% of F measure.