Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Mingjiang Wang"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-16 (2024)
Abstract Speech signals are often distorted by reverberation and noise, with a widely distributed signal-to-noise ratio (SNR). To address this, our study develops robust, deep neural network (DNN)-based speech enhancement methods. We reproduce severa
Externí odkaz:
https://doaj.org/article/af44796838524fccbd1cdaf6fd32c362
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6175 (2024)
The high-accuracy detection of multiple distinct human emotions is crucial for advancing affective computing, mental health diagnostics, and human–computer interaction. The integration of deep learning networks with entropy measures holds significa
Externí odkaz:
https://doaj.org/article/d4cf04e36c484eb3b6a6e2b28afb508b
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-14 (2023)
Abstract The presence of noise and reverberation significantly impedes speech clarity and intelligibility. To mitigate these effects, numerous deep learning-based network models have been proposed for speech enhancement tasks aimed at improving speec
Externí odkaz:
https://doaj.org/article/aa821468bacd4c88914b46d2a6f15c99
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e22455- (2023)
Revealing system behavior from observed time series is a fundamental problem worthy of in-depth study and exploration, and has attracted extensive attention in a wide range of fields due to its wide application values. In this paper, we propose a nov
Externí odkaz:
https://doaj.org/article/b15ac6520b8a495ba3a479ba7cbf6657
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2636 (2024)
The construction of complex networks from electroencephalography (EEG) proves to be an effective method for representing emotion patterns in affection computing as it offers rich spatiotemporal EEG features associated with brain emotions. In this pap
Externí odkaz:
https://doaj.org/article/cea5a15a158c425b97400ce68bca85e4
Publikováno v:
Telecom, Vol 3, Iss 3, Pp 526-540 (2022)
During 3D rendering by GPU, jagged patterns will appear at the edge of the image due to the lack of sampling points. To increase the continuity of the image, we use an anti-aliasing technique to process these jagged patterns. In this paper, we review
Externí odkaz:
https://doaj.org/article/82114d6bfb1d45de85b41984dacc7eb6
Autor:
Xin Wang, Mingxing Zhu, Yuchao He, Zhenzhen Liu, Xin Huang, Hongguang Pan, Mingjiang Wang, Shixiong Chen, Yuan Tao, Guanglin Li
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Otoacoustic emissions (OAEs) are low-level sounds generated by the cochlea and widely used as a noninvasive tool to inspect cochlear impairments. However, only the amplitude information of OAE signals is used in current clinical tests, while the OAE
Externí odkaz:
https://doaj.org/article/4fe6bd9fa3614a1fb65ce789f5c994a1
Autor:
Mingxing Zhu, Xin Wang, Hanjie Deng, Yuchao He, Haoshi Zhang, Zhenzhen Liu, Shixiong Chen, Mingjiang Wang, Guanglin Li
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Pitch, as a sensation of the sound frequency, is a crucial attribute toward constructing a natural voice for communication. Producing intelligible sounds with normal pitches depend on substantive interdependencies among facial and neck muscles. Clari
Externí odkaz:
https://doaj.org/article/bf6e02a98b5a4ab790b3d94c4d954da6
Publikováno v:
IEEE Access, Vol 9, Pp 905-922 (2021)
Mitotic figure count acts as a proliferative marker to measure aggressiveness of the breast cancer tumor. In this article, we have proposed a novel framework named SmallMitosis to detect mitotic cells particularly very small size mitosis from hematox
Externí odkaz:
https://doaj.org/article/6624791c59de40d2b9170116b99f44ba
Publikováno v:
IEEE Access, Vol 7, Pp 80985-80999 (2019)
Estimation of the noise power spectral density (PSD) plays a critical role in most existing single-channel speech enhancement algorithms. In this paper, we present a novel noise PSD tracking algorithm, which employs a log-spectral power minimum mean
Externí odkaz:
https://doaj.org/article/ecdf2da0d0364480a99c7949f648bc6f