XLN Audio Addictive Trigger Complete v1.1.1-R2R

链接: https://pan.baidu.com/s/1o7Dbuie 密码: yxxr

eam R2R | 01 Jan 2018 | 1.13GB
Addictive Trigger - Intelligent Drum Replacement
Audio Fingerprint drum hit detection
SuperStart auto-adjustment of settings
Outstanding drum sounds included
A complete solution
During the research phase of Addictive Trigger, users around the world reported that accurate hit detection is absolutely critical when using drum replacement plugins. Unfortunately, existing triggering technologies tend to have shortcomings that require lots of manual tweaking and correction.
We endeavor to make products that are better than what is currently available, and we ended up creating an entirely new method for drum hit detection called Audio Fingerprint. Our new system uses FFT analysis to accurately identify drum sounds even if there is a lot of mic bleed or background noise in the source material. It’s fast, it’s accurate, and we think it’ll change the way you work with live-recorded drums.
What is Audio Fingerprint?
Typical drum replacement tools rely on rudimentary filtering and transient detection, resulting in many false triggers and missed hits. Audio Fingerprint solves this problem by using a novel FFT-based matching system. It is so accurate, it usually has no trouble detecting lightly played ghost notes from background noise while simultaneously rejecting mic bleed and other unwanted sounds.
In addition to detecting low level ghost notes with great accuracy, our Audio Fingerprint system can also differentiate between different stroke types that are played at similar velocities (for example, sidestick and open snare hits). This lets Addictive Trigger play back the correct articulations of samples, even if the incoming source material has different kinds of drum hits with similar peak levels.
Setting and fine-tuning detection parameters can be painfully tedious work. SuperStart eliminates the need to do this by listening to your source material and automatically providing suitable detection settings. In most cases, this is all you need to get accurate drum detection happening on your tracks. This lets you spend more of your time on creative things like dialing in the perfect drum sounds.
01月2018日| EAM R2R | 1.13gb
上瘾触发-智能鼓更换
音频指纹鼓检测
设置自动调整的巨星
包括鼓音
一个完整的解决方案
在成瘾触发的研究阶段，世界各地的用户报告说，使用滚筒替换插件时，准确的点击检测绝对至关重要。不幸的是，现有的触发技术往往存在许多需要手动调整和修正的缺点。
我们努力制造比目前可用的更好的产品，最终我们发明了一种全新的鼓击检测方法，称为音频指纹。我们的新系统使用FFT分析来精确识别磁鼓声音，即使在源材料中有大量的麦克风出血或背景噪音。它是快速的，它是准确的，我们认为它会改变你的工作方式与现场记录鼓。
什么是音频指纹？
典型的磁鼓替换工具依赖于基本的过滤和瞬态检测，导致许多错误触发器和漏击。音频指纹通过使用一种新的基于FFT的匹配系统解决了这个问题。它是如此准确，它通常无故障检测轻轻播放鬼音符从背景噪音，同时拒绝麦克风流血和其他不必要的声音。
除了具有高精度的检测低水平的志怪笔记，我们的音频指纹系统还可以区分不同的中风类型，在类似的速度之间的比赛（例如，侧杆和打开圈套击中）。这让上瘾的触发播放样本的正确发音，即使输入源材料具有类似的高峰水平的鼓击不同。
设置和微调检测参数可能是一项痛苦乏味的工作。巨星不需要这样做，听你的素材和自动提供合适的检测设置。在大多数情况下，这是所有需要准确的鼓检测发生在您的轨道上。这可以让你花更多的时间在创造性的事情上，比如敲完美的鼓声。