Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Chengshi Zheng"'
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 8, Iss 2, Pp 364-378 (2023)
Abstract The head‐related transfer function (HRTF) plays a vital role in immersive virtual reality and augmented reality technologies, especially in spatial audio synthesis for binaural reproduction. This article proposes a deep learning method wit
Externí odkaz:
https://doaj.org/article/ceae0a3e5c0b429788026d509d2c983e
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-17 (2023)
Abstract More and more smart home devices with microphones come into our life in these years; it is highly desirable to connect these microphones as wireless acoustic sensor networks (WASNs) so that these devices can be better controlled in an enclos
Externí odkaz:
https://doaj.org/article/61250e5f37e943ae9688dd79657013c4
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2021, Iss 1, Pp 1-15 (2021)
Abstract Voice conversion is to transform a source speaker to the target one, while keeping the linguistic content unchanged. Recently, one-shot voice conversion gradually becomes a hot topic for its potentially wide range of applications, where it h
Externí odkaz:
https://doaj.org/article/9774f3e85b684d4c8afe408040baa9c9
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
All hearing aid fittings should be validated with appropriate outcome measurements, whereas there is a lack of well-designed objective verification methods for bone conduction (BC) hearing aids, compared to the real-ear measurement for air conduction
Externí odkaz:
https://doaj.org/article/db95ea843d0b4382832a95d503de42b6
Autor:
Kaitong Zheng, Ruijie Meng, Chengshi Zheng, Xiaodong Li, Jinqiu Sang, Juanjuan Cai, Jie Wang, Xiao Wang
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
With the development of deep neural networks, automatic music composition has made great progress. Although emotional music can evoke listeners' different auditory perceptions, only few research studies have focused on generating emotional music. Thi
Externí odkaz:
https://doaj.org/article/472719a9c1964d8e9c8d2a667dc3b320
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2021, Iss 1, Pp 1-15 (2021)
Abstract Deep learning-based speech enhancement algorithms have shown their powerful ability in removing both stationary and non-stationary noise components from noisy speech observations. But they often introduce artificial residual noise, especiall
Externí odkaz:
https://doaj.org/article/34785bf925e84260b12685a9abf89f31
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1266 (2023)
Surround sound systems that play back multi-channel audio signals through multiple loudspeakers can improve augmented reality, which has been widely used in many multimedia communication systems. It is common that a hand-free speech communication sys
Externí odkaz:
https://doaj.org/article/21c9b2b46da544d4b77a3a28db5299eb
Autor:
Ruijie Meng, Jingpeng Xiang, Jinqiu Sang, Chengshi Zheng, Xiaodong Li, Stefan Bleeck, Juanjuan Cai, Jie Wang
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
The ability to localize a sound source is very important in our daily life, specifically to analyze auditory scenes in complex acoustic environments. The concept of minimum audible angle (MAA), which is defined as the smallest detectable difference b
Externí odkaz:
https://doaj.org/article/c333435b8dd84c5dacf24e65eb73769c
Publikováno v:
Symmetry, Vol 14, Iss 6, p 1081 (2022)
Most deep-learning-based multi-channel speech enhancement methods focus on designing a set of beamforming coefficients, to directly filter the low signal-to-noise ratio signals received by microphones, which hinders the performance of these approache
Externí odkaz:
https://doaj.org/article/885c80caffd343fcafeb6d68b66e4412
Publikováno v:
Applied Sciences, Vol 11, Iss 20, p 9637 (2021)
Nonlinear active control is very important in many practical applications. Many well-known nonlinear active noise control algorithms may suffer from high computational complexity and low convergence speed, especially in the nonlinear secondary path c
Externí odkaz:
https://doaj.org/article/8486c82e066c417db7a2dfe986d0ff4b