Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Zhongzhe Xiao"'
Autor:
Huiwen Xue, Chenxin Sun, Mingcheng Tang, Chenrui Hu, Zhengqing Yuan, Min Huang, Zhongzhe Xiao
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-12 (2023)
Abstract This study focuses on exploring the acoustic differences between synthesized Guzheng pieces and real Guzheng performances, with the aim of improving the quality of synthesized Guzheng music. A dataset with consideration of generalizability w
Externí odkaz:
https://doaj.org/article/21a6c76ceefb465db3f5096f20bbb45d
Publikováno v:
Cognitive Computation and Systems, Vol 4, Iss 2, Pp 138-146 (2022)
Abstract This paper is part of a special issue on Music Technology. Accurate estimation of glottal wave is an important method for singing voice analysis via voicing patterns. In this paper, an optimising method is proposed for automatic determinatio
Externí odkaz:
https://doaj.org/article/a0340a1781b04843937392bec06969b4
Publikováno v:
IEEE Transactions on Affective Computing. 13:408-425
Emotion shapes all aspects of our interpersonal and intellectual experiences. Its automatic analysis has therefore many applications. In this paper, we propose an emotional tonal speech dataset, Mandarin Chinese Emotional Speech Dataset - Portrayed (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2945b2215aa601f79c272fc99673fea9
https://doi.org/10.1109/taffc.2019.2945322
https://doi.org/10.1109/taffc.2019.2945322
Publikováno v:
Journal of Applied Mathematics and Physics. :2927-2935
Bearings are widely utilized as key components in industrial scenarios. Therefore, the automatic and precise inspection of bearing defects is imperative for the manufacturing of the bearing. In this paper, a novel defect detection method based on aco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c50ecb02cc432b86df5167f806f97978
https://doi.org/10.4236/jamp.2021.911186
https://doi.org/10.4236/jamp.2021.911186
Publikováno v:
Journal of Artificial Intelligence Research. 66:381-410
Traditional machine learning methods share a common hypothesis: training and testing datasets must be in a common feature space with the same distribution. However, in reality, the labeled target data may be rare, so that target space does not share
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::853d0734ccdbfdfc86d32fb2c57744ec
https://doi.org/10.1613/jair.1.11729
https://doi.org/10.1613/jair.1.11729
Publikováno v:
Proceedings of the 8th Conference on Sound and Music Technology ISBN: 9789811616488
Automatic recognition of six selected basic Guzheng fingering techniques is performed in this paper. The audio samples considered in this work are cut into segments of single notes to emphasize the property of each fingering. Due to limited scale of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc47de336ff61fd491b7c78eb9971ac0
https://doi.org/10.1007/978-981-16-1649-5_6
https://doi.org/10.1007/978-981-16-1649-5_6
Publikováno v:
Proceedings of the 8th Conference on Sound and Music Technology ISBN: 9789811616488
Basic emotional states in valence sense as positive, neutral, and negative are studied with automatic classification on cats’ meowing signals, aiming to help human-cat interaction and human emotion regulation by pets keeping. The ground truth of me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aeb71cea598d3db72a4d897c4be3e7e
https://doi.org/10.1007/978-981-16-1649-5_13
https://doi.org/10.1007/978-981-16-1649-5_13
Publikováno v:
Applied Acoustics. 188:108551
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc442d8bc27fd640f9a307b10c26f636
https://doi.org/10.1016/j.apacoust.2021.108551
https://doi.org/10.1016/j.apacoust.2021.108551
Publikováno v:
ISCID (1)
Automatic classification on 7 typical playing techniques of Pipa is taken out in this paper. First, the Pipa spectrogram is normalized according to its fundamental frequency; then, 3 types of grid diagrams are generated from the normalized spectrogra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3a8812bead3ca357a5859556d6213a0
https://doi.org/10.1109/iscid.2019.00013
https://doi.org/10.1109/iscid.2019.00013
Publikováno v:
Measurement. 173:108586
The major challenge of underwater acoustic target recognition is that the features clearly characterizing the underwater acoustic targets remain indistinct, where the sound signals are often submerged by intense noise. In this paper, we aim to discov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37b3581ffdd591ad3db7d64bb7787d61
https://doi.org/10.1016/j.measurement.2020.108586
https://doi.org/10.1016/j.measurement.2020.108586