Audio Playback: Perceptual optimization of sound presentation over spatially distributed loudspeakers

音频播放:通过空间分布的扬声器对声音呈现进行感知优化

基本信息

项目摘要

This project addresses the general challenge of this Research Unit to develop methods for an improved and individualized presentation of acoustic signals to listeners. In the second funding period we will address all three problems that the Research Unit focusses on, "sound presentation", "interfering noise", and "individualization".In this project we will focus on the sound presentation over loudspeakers. Here we will consider methods to adapt the input signals for loudspeakers such as to enhance the speech intelligibility when listening in a room with reverberation and interfering noise sources. In addition, we will consider methods to individually optimize the sound presentation taking into account measured acoustical properties of the room.In the second funding period we will extend the work on speech intelligibility that was started in the first funding period. A preprocessing method was developed that successfully enhanced the intelligibility of speech reproduced over loudspeakers affected by room-reverberation by minimizing the auditory masking of the dry speech signal by the room reverberation. In the next funding period, we will extend this work by also including the auditory masking effects of interfering noise such that we can also enhance speech intelligibility in a reverberant room with interfenng noise. In collaboration with TP E which is developing speech intelligibility prediction models we will find algorithms that optimize the spectral content and apply dynamics compression if required for an individual listener with hearing impairment.In the first funding period also the perceptually accurate reproduction of a recorded sound field in a specific playback room was investigated. As demonstrated in listening tests, we were able to adapt to the individual room acoustical properties of the playback room. In the second funding period we will extend this work in three manners. First it will be extended to be able to record and reproduce spatially distributed sound sources with a single recording unit that is placed at the listener's position in the recording room. Here a combination with an ambisonics reproduction system will be pursued. It will require to investigate how the ambisonics system excites the reverberant sound field in the playback room in order to be able to optimize the properties of the reverberant sound field.A second effort will be related to the fact that with the current optimization method both the recording and the playback room properties are taken into account. We want to investigate whether it is possible to make a single recording format that can be input to a playback system that only has knowledge about the playback room.A third effort will look at methods to use conventional stereo content (which is the current recording standard) as an input for the proposed reproduction method.
该项目解决了该研究小组的普遍挑战,即开发向听众改进和个性化地呈现声学信号的方法。在第二个资助期间,我们将解决研究单位关注的所有三个问题,“声音呈现”、“干扰噪声”和“个性化”。在这个项目中,我们将重点研究扬声器上的声音呈现。在这里,我们将考虑调整扬声器输入信号的方法,例如在有混响和干扰噪声源的房间中收听时增强语音清晰度。此外,我们将考虑根据测量的房间声学特性单独优化声音呈现的方法。在第二个资助期,我们将扩展第一个资助期开始的语音清晰度工作。开发了一种预处理方法,通过最大限度地减少房间混响对干语音信号的听觉掩蔽,成功地提高了受房间混响影响的扬声器再现的语音的清晰度。在下一个资助期间,我们将扩展这项工作,将干扰噪声的听觉掩蔽效应纳入其中,这样我们还可以增强具有干扰噪声的混响室中的语音清晰度。与正在开发语音清晰度预测模型的 TP E 合作,我们将找到优化频谱内容的算法,并在有听力障碍的个别听众需要时应用动态压缩。在第一个资助期间,我们还研究了特定播放室中录制的声场的感知准确再现。正如听力测试所证明的那样,我们能够适应播放室的各个房间的声学特性。在第二个资助期内,我们将通过三种方式扩展这项工作。首先,它将扩展到能够使用放置在录音室中听众位置的单个录音单元来记录和再现空间分布的声源。这里将寻求与 Ambisonics 再现系统的结合。需要研究立体混响系统如何激发回放室中的混响声场,以便能够优化混响声场的属性。第二项工作将与当前的优化方法同时考虑录音和回放室属性这一事实有关。我们想要研究是否有可能制作一种可以输入到仅了解播放室的播放系统的单一录制格式。第三项工作将研究使用传统立体声内容(这是当前的录制标准)作为所提出的再现方法的输入的方法。

项目成果

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Professor Dr. Steven van de Par其他文献

Professor Dr. Steven van de Par的其他文献

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{{ truncateString('Professor Dr. Steven van de Par', 18)}}的其他基金

Contributions of Auditory Stream Formation to Speech Perception
听觉流形成对言语感知的贡献
  • 批准号:
    397774634
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Models of room acoustical perception
房间声感知模型
  • 批准号:
    192385161
  • 财政年份:
    2011
  • 资助金额:
    --
  • 项目类别:
    Research Units

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