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首页> 外文期刊>Network Daily News >New Neural Networks Findings from Sungkyunkwan University Described (Orvae: One-class Residual Variational Autoencoder for Voice Activity Detection In Noisy Environment)
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New Neural Networks Findings from Sungkyunkwan University Described (Orvae: One-class Residual Variational Autoencoder for Voice Activity Detection In Noisy Environment)

机译:新的神经网络发现韩国成均馆大学描述(Orvae:看到下面成了残留变分Autoencoder语音活动检测在嘈杂的环境中)

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By a News Reporter-Staff News Editor at Network Daily News - New research on Networks - Neural Networks is the subject of a report. According to news reporting originating from Suwon, South Korea, by NewsRx correspondents, research stated, “Detecting human speech is foundational for a wide range of emerging intelligent applications. However, accurately detecting human speech is challenging, especially in the presence of unknown noise patterns.”
机译:由一个新闻记者在网络新闻编辑每日新闻-新的研究网络的神经网络的主题报告。新闻报道来自韩国水原南方韩国NewsRx记者,研究指出,“检测人类语言基础广泛的新兴智能应用程序。然而,准确地检测人类语言有挑战性,特别是在的存在未知噪声模式。”

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