Search Results - "Ni, Jinfu"

Extraction of pitch register from expressive speech in Japanese by Jinfu Ni, Shiga, Yoshinori, Hori, Chiori

“…Human uses intonation to make focal prominence to give emphasis that highlights the focus of speech. Automatic extraction of proper intonation features from a…”
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Quantitative and structural modeling of voice fundamental frequency contours of speech in Mandarin by Ni, Jinfu, Hirose, Keikichi

“…This paper presents an approach to structural modeling of voice fundamental frequency contours ( F 0 contours) of Mandarin utterances as a sequence of…”
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Constrained tone transformation technique for separation and combination of Mandarin tone and intonation by JINFU NI, KAWAI, Hisashi, HIROSE, Keikichi

“…This paper addresses a classical but important problem: The coupling of lexical tones and sentence intonation in tonal languages, such as Chinese, focusing…”
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Use of Poisson Processes to Generate Fundamental Frequency Contours by Jinfu Ni, Nakamura, S.

“…The prosodic contributions to voice fundamental frequency (F 0 ) contours can be analyzed into a series of sparser tonal targets (F 0 peaks and valleys). The…”
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CART-based modeling of Chinese tonal patterns with a functional model tracing the fundamental frequency trajectories by Jinfu Ni, Sakai, S., Shimizu, T., Nakamura, S.

“…We propose an approach to modeling Chinese tonal patterns, focusing on the basic fundamental frequency (F 0 ) patterns characterized by the contextual…”
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Discriminative training and explicit duration modeling for HMM-based automatic segmentation by Wu, Yi-Jian, Kawai, Hisashi, Ni, Jinfu, Wang, Ren-Hua

“…HMM-based automatic segmentation has been popularly used for corpus construction for concatenative speech synthesis. Since the most important reasons for the…”
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Superpositional HMM-based intonation synthesis using a functional F0 model by Jinfu Ni, Shiga, Yoshinori, Hori, Chiori

“…This paper addresses intonation synthesis combining statistical and functional approach with manipulation of fundamental frequency (F 0 ) contours in HMM-based…”
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Tuning intonation with pitch accent decomposition for HMM-based expressive speech synthesis by Jinfu Ni, Shiga, Yoshinori, Hori, Chiori

“…Expressive intonation makes focal prominence to give emphases that highlight the focus of speech. This paper describes a method for improving the…”
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Superpositional HMM-Based Intonation Synthesis Using a Functional F0 Model by Ni, Jinfu, Shiga, Yoshinori, Hori, Chiori

“…This paper addresses intonation synthesis combining both statistical and generative models to manipulate fundamental frequency ( F 0 ) contours in the…”
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Resonance-based spectral deformation in HMM-based speech synthesis by Jinfu Ni, Shiga, Y., Kawai, H., Kashioka, H.

“…Speech quality in statistical parametric speech synthesis relies on a sufficiency of acoustical features involved in training samples. This paper presents a…”
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Experiments on unsupervised statistical parametric speech synthesis by Jinfu Ni, Shiga, Y., Kawai, H., Kashioka, H.

“…In order to build web-based voicefonts, an unsupervised method is needed to automate the extraction of acoustic and linguistic properties of speech. This paper…”
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Frequency Modulation Technique for Prosodic Modification by Jinfu Ni, Sakai, S., Shimizu, T., Nakamura, S.

“…Modulation of speaking tone in frequency can make speech interesting and convey subtle meaning in communication. We present a frequency modulation (FM)…”
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Tone feature extraction through parametric modeling and analysis-by-synthesis-based pattern matching by Jinfu Ni, Kawai, H.

“…A functional fundamental frequency (F/sub 0/) model is applied to extract tone peak and gliding features from Mandarin F/sub 0/ contours aiming at automatic…”
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Constructing a Phonetic-Rich Speech Corpus While Controlling Time-Dependent Voice Quality Variability for English Speech Synthesis by Jinfu Ni, Hirai, T., Kawai, H.

“…This paper presents a practical approach to constructing a large-scale speech corpus for corpus-based speech synthesis. This consists of (1) selecting a source…”
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HMM-based TTS System Framework by Keo, Saly, Kak, Soky, Shiga, Yoshinori, Kato, Hiroaki, Kawai, Hisashi

“…The research focuses on the use of Hidden Markov Model (HMM) to build Khmer text-to-speech (TTS) system. Although the system is based on HMM statistic model,…”
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Minimum segmentation error based discriminative training for speech synthesis application by WU, Yi-Jian, KAWAI, Hisashi, JINFU NI, WANG, Ren-Hua

“…In the conventional HMM-based segmentation method, the HMM training is based on MLE criteria, which links the segmentation task to the problem of distribution…”
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Prosody Modeling from Tone to Intonation in Chinese using a Functional F0 Model by Ni, J., Sakai, S., Shimizu, T., Nakamura, S.

“…Chinese is a tonal language. It has both lexical tones and intonation. The fundamental frequency (F 0 ) contours thereby consist of tone and intonation…”
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A functional model for generation of local components of F0 contours in Chinese by Jinfu Ni, Renhua Wang, Deya Xia

“…A new functional model is introduced, which is designed to simulate the control mechanism for generating the local component of the F0 (fundamental frequency)…”
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USTC95-a Putonghua corpus by Ren-Hua Wang, Deyu Xia, Jinfu Ni, Bicheng Liu

“…For the standard spoken Chinese dialect commonly known as Putonghua or Mandarin, a large corpus called USTC95 (University of Science and Technology of China,…”
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