Zobrazeno 1 - 10
of 464
pro vyhledávání: '"Kiyohiro, Shikano"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
We conduct an objective analysis on musical noise generated by two methods of integrating microphone array signal processing and spectral subtraction. To obtain better noise reduction, methods of integrating microphone array signal processing and non
Externí odkaz:
https://doaj.org/article/2a88c88b8039463096ca36c516dbac8d
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
A barge-in free spoken dialogue interface using sound field control and microphone array is proposed. In the conventional spoken dialogue system using an acoustic echo canceller, it is indispensable to estimate a room transfer function, especially wh
Externí odkaz:
https://doaj.org/article/726ec905e3104b148792d42426f4b551
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
We present the use of stethoscope and silicon NAM (nonaudible murmur) microphones in automatic speech recognition. NAM microphones are special acoustic sensors, which are attached behind the talker's ear and can capture not only normal (audible) spee
Externí odkaz:
https://doaj.org/article/ccd66062174043c09f6b546c7f97003f
Autor:
Satoshi Nakamura, Tomoya Takatani, Kiyohiro Shikano, Hiroshi Saruwatari, Fine Dwinita Aprilyanti, Jani Even
Publikováno v:
Acoustical Science and Technology. 36:302-313
Autor:
Ryoichi Miyazaki, Kazunobu Kondo, Jonathan Blanchette, Kiyohiro Shikano, Satoshi Nakamura, Martin Bouchard, Hiroshi Saruwatari
Publikováno v:
Signal Processing. 102:226-239
In this paper, we propose a musical-noise-free blind speech extraction method using a microphone array for application to nonstationary noise. In our previous study, it was found that optimized iterative spectral subtraction (SS) results in speech en
Autor:
Hiroshi Saruwatari, Daichi Kitamura, Kosuke Yagi, Kazunobu Kondo, Kiyohiro Shikano, Yu Takahashi
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1113-1118
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 22:172-183
In this paper, we present novel speaking-aid systems based on one-to-many eigenvoice conversion (EVC) to enhance three types of alaryngeal speech: esophageal speech, electrolaryngeal speech, and body-conducted silent electrolaryngeal speech. Although
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 20:2505-2517
In this paper, we present statistical approaches to enhance body-conducted unvoiced speech for silent speech communication. A body-conductive microphone called nonaudible murmur (NAM) microphone is effectively used to detect very soft unvoiced speech
Publikováno v:
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences. (2):591-595
SUMMARY In this paper, we introduce a generalized minimum meansquare error short-time spectral amplitude estimator with a new prior estimation of the speech probability density function based on momentcumulant transformation. From the objective and s
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :586-590
SUMMARY We propose a structure-generalized blind spatial subtraction array (BSSA), and the theoretical analysis of the amounts of musical noise and speech distortion. The structure of BSSA should be selected according to the application, i.e., a chan