耳机环境模拟效果器NovoNotes HPL2 Processor 3.0

Why does HPL sound so good?
为什么HPL听起来这么好？

HPL uses a different method to that commonly used by general binaural plug-ins.
HPL使用的方法与一般双耳插件常用的方法不同。

General method: convolution of measured IR.
一般方法：测量红外光谱的卷积。

HPL: algorithmic room modeling and head acoustic simulation.
HPL：算法房间建模和头部声学模拟。

The general convolution method uses Head-related Impulse Response data (HRIR), which is measured by a dummy head placed in an anechoic room. This signal processing is similar to the convolution reverb often used in music production.
通用卷积法使用头部相关脉冲响应数据（HRIR），该数据由放置在消声室中的虚拟头部测量。这种信号处理类似于音乐制作中常用的卷积混响。

Sound processed in this way generally feels extremely close, as if it is being whispered in your ear. This creates a sense of “immersion”, which is important in the production of VR content.
以这种方式处理的声音通常感觉非常接近，就像是在你耳边低语。这创造了一种“沉浸感”，这在虚拟现实内容的制作中很重要。

However, there is a problem with this method when applied to music production. All sounds feel too close, and you lose the sense of spaciousness and distance that is so important in music production.
然而，这种方法在应用于音乐制作时存在一个问题。所有的声音都感觉太近，你失去了在音乐制作中非常重要的空间感和距离感。

HPL was developed to achieve a sense of both “immersion” and “spaciousness”.
HPL的开发是为了实现“沉浸感”和“宽敞感”。

The following list shows the differences between the general method and HPL.
以下列表显示了常规方法和HPL之间的差异。

HPL
HPL
Localization: Out-of-head localization.
定位：头外定位。
Perception of space: Natural.
对空间的感知：自然。
Uniformity of panning: Equal volume in all directions.
平移均匀性：各个方向的体积相等。

General Method
一般方法
Localization: Very close to the surface of the head.
定位：非常接近头部表面。
Perception of space: Needs additional processing. It is difficult to avoid unwanted side-effect and unnatural results.
空间感知：需要额外处理。很难避免不必要的副作用和不自然的结果。
Uniformity of panning: louder in the left/right position, softer in the front/back and up/down positions.
平移的均匀性：左/右位置的声音更大，前/后和上/下位置的声音更柔和。

Is HPL an application of Ambisonic technology?
HPL是Ambisonic技术的应用吗？
No. HPL does not use Ambisonics in any way.
不。HPL不以任何方式使用双声道。

Many binaural plug-ins process the signal once it has been encoded into Ambisonics. However, NovoNotes plug-ins binauralize the virtual speakers without encoding them to ambisonics. This provides a higher localization. We use this method because, in music production, we cannot afford to compromise on either immersion or localization.
许多双耳插件在信号被编码成双声信号后对其进行处理。然而，NovoNotes插件将虚拟扬声器二值化，而不将其编码为双音。这提供了更高的本地化。我们使用这种方法是因为，在音乐制作中，我们不能在沉浸感或本地化上妥协。