Ninth International Conference on Spoken Language Processing

Pittsburgh, PA, USA
September 17-21, 2006

Phone Vector DHMM to Decode a Phone Recognizer's Output

Bong-Wan Kim, Dae-Lim Choi, Yongnam Um, Yong-Ju Lee

Wonkwang University, Korea

In this paper we introduce a Phone Vector Discrete HMM (PVDHMM) that decodes a phone recognizer's output. The proposed PVDHMM treats a phone recognizer as a vector quantizer whose codebook size is equal to the size of its phone set. To examine the proposed method we perform two experiments. First, the output of a phone recognizer is recognized by the PVDHMM, and its results are compared with those of a continuous speech recognizer (CSR). Second, to investigate its potential application in the field of open-vocabulary spoken document retrieval, a retrieval experiment through word spotting is carried out on the output of a phone recognizer, and its results are compared with those of retrieval through the phone-based vector space model.

Full Paper

Bibliographic reference.  Kim, Bong-Wan / Choi, Dae-Lim / Um, Yongnam / Lee, Yong-Ju (2006): "Phone vector DHMM to decode a phone recognizer's output", In INTERSPEECH-2006, paper 1903-Wed1BuP.11.