典型的鼓替换工具依赖于基本的滤波和瞬态检测，导致许多错误的触发和误命中。基于fft的音频指纹匹配系统解决了这一问题。它是如此准确，它通常毫不费力地从背景噪音中检测出轻微的鬼音，同时拒绝麦克风出血和其他不想要的声音。
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.
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