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cs.SD 方向,今日共计4篇
[cs.SD]:
【1】 Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation
标题:基于递归神经网络的单通道信源分离增量式二值化
作者: Sunwoo Kim, Minje Kim
备注:5 pages, 1 figure, 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019)
链接:https://arxiv.org/abs/1908.08898
【2】 Lukthung Classification Using Neural Networks on Lyrics and Audios
标题:基于神经网络的Lukthung歌词和音频分类
作者: Kawisorn Kamtue, Naruemon Pratanwanich
备注:ICSEC 2019
链接:https://arxiv.org/abs/1908.08769
【3】 Gender Representation in French Broadcast Corpora and Its Impact on ASR Performance
标题:法国广播语料库中的性别表征及其对ASR绩效的影响
作者: Mahault Garnerin, Laurent Besacier
链接:https://arxiv.org/abs/1908.08717
【4】 VOP Detection for Read and Conversation Speech using CWT Coefficients and Phone Boundaries
标题:使用CWT系数和电话边界的阅读和对话语音的VOP检测
作者: Kumud Tripathi, K. Sreenivasa Rao
链接:https://arxiv.org/abs/1908.08668
翻译:腾讯翻译君
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