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Gullfoss 是一款易于使用的工具,适用于从业余音乐家到专业母带工程师的所有人。其简洁的用户界面提供了一组基本参数,可以在几秒钟内调整这些参数以提高混音或录音的清晰度、细节、空间感和平衡性。
Gullfoss 是一种智能均衡器,它会听取信号并决定如何准备音频,以便您的大脑从中获取最多的信息。 Gullfoss 的实时分析使用 Soundtheory 的计算听觉感知模型来了解哪些听觉元素正在争夺您的注意力。 Gullfoss 允许快速和精确的修复,否则这些修复是无法解决的,或者需要大量时间和经验才能解决。
Gullfoss 甚至能够解决不同声音元素之间的平衡问题,而无需访问各个音轨。内部听觉模型允许 Gullfoss 对感知的声音做出客观的决定。因此,使用 Gullfoss 处理的混音通常会在不同的聆听情况之间进行更一致的转换。
Gullfoss 由正在申请专利的新均衡器技术支持,以无与伦比的音质处理音频。均衡器能够每秒改变其频率响应超过 300 次,并且不会引入可听的伪影或降低信号质量。与 Soundtheory 开发的高度先进的计算听觉感知模型一起,Gullfoss 是同类产品中的第一个也是唯一的产品。
Gullfoss is an easy-to-use tool for everyone from the amateur musician to the professional mastering engineer. Its clean user interface offers a set of basic parameters that can be adjusted to improve the clarity, detail, spatiality, and balance of a mix or recording in a matter of seconds.
Gullfoss is an intelligent equalizer that listens to a signal and decides how to prepare the audio so that your brain can get the most information out of it. The realtime analysis of Gullfoss uses Soundtheory’s computational auditory perception model to understand which audible elements are competing for your attention. Gullfoss allows for quick and precise fixes that would otherwise be unsolvable or would require significant time and experience to resolve.
Gullfoss is even capable of fixing balancing issues between different sound elements without access to the individual tracks. The internal auditory model allows Gullfoss to make objective decisions about the perceived sound. As a result, mixes processed with Gullfoss will generally translate more consistently between different listening situations.
Gullfoss, enabled by new patent-pending equalizer technology, processes audio with unrivaled sound quality. The equalizer is capable of changing its frequency response more than 300 times per second and without introducing audible artifacts or degrading signal quality. Together with the highly advanced computational auditory perception model that has been developed by Soundtheory, Gullfoss is the first and only product of its kind.