首页> 外国专利> METHOD AND SYSTEM FOR LEARNING AND USING LATENT-SPACE REPRESENTATIONS OF AUDIO SIGNALS FOR AUDIO CONTENT-BASED RETRIEVAL

METHOD AND SYSTEM FOR LEARNING AND USING LATENT-SPACE REPRESENTATIONS OF AUDIO SIGNALS FOR AUDIO CONTENT-BASED RETRIEVAL

机译:用于学习和使用基于音频内容的检索的音频信号的潜在空间表示的方法和系统

摘要

A method and system are provided for extracting features from digital audio signals which exhibit variations in pitch, timbre, decay, reverberation, and other psychoacoustic attributes and learning, from the extracted features, an artificial neural network model for generating contextual latent-space representations of digital audio signals. A method and system are also provided for learning an artificial neural network model for generating consistent latent-space representations of digital audio signals in which the generated latent-space representations are comparable for the purposes of determining psychoacoustic similarity between digital audio signals. A method and system are also provided for extracting features from digital audio signals and learning, from the extracted features, an artificial neural network model for generating latent-space representations of digital audio signals which take care of selecting salient attributes of the signals that represent psychoacoustic differences between the signals.
机译:提供了一种方法和系统用于从数字音频信号中提取特征,其表现出音高,衰减,衰减,混响和其他心理声学属性和学习的变化,从提取的特征,用于生成用于生成上下文潜空间表示的人工神经网络模型数字音频信号。还提供了一种方法和系统,用于学习用于生成数字音频信号的一致潜空间表示的人工神经网络模型,其中产生的潜像表示是为了确定数字音频信号之间的心理声学相似性的可比性。还提供了一种方法和系统,用于从数字音频信号和学习的提取特征,从提取的特征,用于生成数字音频信号的潜在空间表示的人工神经网络模型,该数字音频信号的潜在空间表示,该模型负责选择代表心理声学的信号的突出属性信号之间的差异。

著录项

  • 公开/公告号US2022036915A1

    专利类型

  • 公开/公告日2022-02-03

    原文格式PDF

  • 申请/专利权人 DISTRIBUTED CREATION INC.;

    申请/专利号US202016942410

  • 申请日2020-07-29

  • 分类号G10L25/54;G06K9/62;G06F3/16;G10L25/30;G10L21/12;G10L21/14;G06F16/65;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-24 23:36:15

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