Learn More
We have been proposing a Spoken Term Detection (STD) method for Out-Of-Vocabulary (OOV) query terms using various subword units, such as monophone, triphone, demiphone, one third phone, and Sub-phonetic segment (SPS) models. In the proposed method, subword-based ASR is performed for all spoken documents and subword recognition results are generated using(More)
We have been proposing a Spoken Term Detection (STD) method for Out-Of-Vocabulary (OOV) query terms integrating various subword recognition results using monophone, triphone, demiphone, one third phone, and Sub-phonetic segment (SPS) models. In the proposed method, subword-based ASR (Automatic Speech Recognition) is performed for all spoken documents and(More)
Triphone acoustic models are often used as subword models for detecting out-of-vocabulary query terms in Spoken Term Detection (STD) systems. Our preliminary experiments revealed that the training data for a large portion of the approximately 8,000 triphone models are insufficient. Assuming that such insufficient models deteriorate the performance of STD,(More)
  • 1