Kazuhiko Ozeki

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Prosody contains information that is lost when utterances are transcribed into letters or characters. This paper is concerned with exploiting such information for syntactic analysis of read Japanese sentences. In our previous work, we employed 12 prosodic features, and made a statistical model to represent the relationship between those features and(More)
This paper is concerned with measuring the amount of syntactic information contained in prosodic features of Japanese utterances. Five prosodic features are employed, and the statistical relationship between those features and the inter-phrase dependency distance is estimated by using training data. Then parsing experiments are conducted in two di erent(More)
The work presented in this paper is devoted to the modeling of distribution of post-phrase pause duration for dependency analysis of read Japanese sentences. The pause information is incorporated into a dependency structure parser, which handles numerical information as part of linguistic knowledge. A series of our previous works has shown that the duration(More)
In our previous paper, we presented a speaker identification system using a multi-SNR multi-band method, and reported its robustness against environmental noises. This paper describes two modifications to the system for further enhancement of its noise-robustness. Firstly, 1/f noise is employed instead of white Gaussian noise to make noisy data for training(More)
There is a close relationship between prosody and syntax. In the field of speech synthesis, many investigations have been made to control prosody so that it conforms to the syntactic structure of the sentence. This paper is concerned with the inverse problem: recovery of syntactic structure with the help of prosodic information. In our past investigations,(More)