148 research outputs found

    Genus and classification of Riemann surfaces

    Full text link

    Harmonic Liouville Theorem for Exterior Domains

    Get PDF
    AbstractWe give a very simple function theoretic proof to a Liouville type theorem for harmonic functions defined on exterior domains obtained and proved in a convexity theoretic method by F. Cammaroto and A. Chinnı̀. The theorem itself is also slightly generalized

    The Use of F0 Reliability Function for Prosodic Command Analysis on F0 Contour Generation Model

    Get PDF
    This paper describes a method of utilizing an ``F0 Reliability Field'' (FRF), which we have proposed in our previous work, for estimating prosodic commands on F0 contour generation model. This FRF is the time-frequency representation of F0 likelihood, and an advantage of FRF is that it is not necessary to consider F0 errors that occur during an automatic F0 determination. Therefore, it is thought that FRF can be a more useful feature for automatic prosody analyses than F0 contour, and our previous paper has reported the validity of FRF on the analysis of detecting prosodic boundaries in Japanese continuous speech. Moreover, in this paper, we have examined the validity on the prosodic command estimation of superpositional model. Experimental results show that the accuracy of command estimation with FRF is well and it is close to the accuracy of command estimation with ideal F0 contour that has no F0 error

    Accent Phrase Segmentation by Finding N-Best Sequences of Pitch Pattern Templates

    Get PDF
    This paper describes a prosodic method for segmenting continuous speech into accent phrases. Optimum sequences are obtained on the basis of least squared error criterion by using dynamic time warping between F0 contours of input speech and reference accent patterns called 'pitch pattern templates'. But the optimum sequence does not always give good agreement with phrase boundaries labeled by hand, while the second or the third optimum candidate sequence does well. Therefore, we expand our system to be able to find out multiple candidates by using N-best algorithm. Evaluation tests were carried out using the ATR continuous speech database of 10 speakers. The results showed about 97% of phrase boundaries were correctly detected when we took 30-best candidates, and this accuracy is 7.5% higher than the conventional method without using N-best search algorithm

    On Representation of Fundamental Frequency of Speech for Prosody Analysis Using Reliability Function.

    Get PDF
    This paper highlights on a method that provides a new prosodic feature called ‘F0 reliability field’ based on a reliability function of the fundamental frequency (F0). The proposed method does not employ any correction process for F0 estimation errors that occur during automatic F0 extraction. By applying this feature as a score function for prosodic analyses like prosodic structure estimation or superpositional modeling of prosodic commands, these prosodic information could be acquired with higher accuracy. The feature has been applied to ‘F0 template matching method’, which detects accent phrase boundaries in Japanese continuous speech. The experimental results show that compared to the conventional F0 contour, the proposed feature overcomes the harmful influence caused by F0 errors

    Prosodic phrase segmentation by pitch pattern clustering

    Get PDF
    This paper proposes a novel method for detecting the optimal sequence of prosodic phrases from continuous speech based on data-driven approach. The pitch pattern of input speech is divided into prosodic segments which minimized the overall distortion with pitch pattern templates of accent phrases by using the One Pass search algorithm. The pitch pattern templates are designed by clustering a large number of training samples of accent phrases. On the ATR continuous speech database uttered by 10 speakers, the rate of correct segmentation was 91.7% maximum for the same sex data of training and testing, 88.6% for the opposite sex

    Robust Pitch Detection by Narrow Band Spectrum Analysis

    Get PDF
    This paper proposes a new technique for detecting pitch patterns which is useful for automatic speech recognition, by using a narrow band spectrum analysis. The motivation of this approach is that humans perceive some kind of pitch in whispers where no fundamental frequencies can be observed, while most of the pitch determination algorithm (PDA) fails to detect such perceptual pitch. The narrow band spectrum analysis enable us to find pitch structure distributed locally in frequency domain. Incorporating this technique into PDA's is realized to applying the technique to the lag window based PDA. Experimental results show that pitch detection performance could be improved by 4% for voiced sounds and 8% for voiceless sounds

    Modifed Minimum Classification Error Learning and Its Application to Neural Networks

    Get PDF
    A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learning proposed by Juang and Katagiri in 1992 results in better recognition performance than the maximum-likelihood (ML) based learning in various areas of pattern recognition. Despite its superiority in recognition performance, as well as other learning algorithms, it still suffers from the problem of "over-fitting" to the training samples. In the present study, a regularization technique has been employed to the MCE learning to overcome this problem. Feed-forward neural networks are employed as a recognition platform to evaluate the recognition performance of the proposed method. Recognition experiments are conducted on several sorts of data sets

    Polar Order in Quantum Paraelectric SrTiO3-16 and SrTiO3-18 at Low Temperature

    Get PDF
    Optical second-harmonic generation (SHG) in SrTi16O3 (STO16) and SrTi18O3 (STO18) was investigated using the SHG microscope. While no-biased STO16 exhibits weak and almost temperature-independent SHG signals, a marked SHG is observed under the electric field in the quantum paraelectric region. In STO18, strong SHG signals appear spontaneously below 36K. However, neutron and X-ray diffraction analyses indicate that no structural change appears at low temperature in STO18, and STO16 under the electric field. By taking into account the fact that the SHG is sensitive to the local polar-order, the combined studies reveals that the long-range order of polar phase does not develop on the both crystals and is frozen in local regions.Comment: soumis a JPSJ -lettr
    corecore