10/22/2023 0 Comments Convolver audio hijackHQPlayer on Mac and Windows using standalone with loopback. Qobuz on Mac and Windows using standalone mode with loopback. JRiver on Mac and Windows using VST3 plugin.Īudirvana on Mac and Windows using AU and VST3 plugins Roon on Mac and Windows operating in standalone mode with loopback. Standalone application mode and VST3/AU plugin mode.Zero latency, uniform partition convolution engine.System-wide and app specific convolution capabilities.6 Filterbanks x presets = dozens of FIR filters.Automatic filter switching based on host sample rate.Supports stereo 32-bit float wav FIR filters in a zip file.Import Acourate, Audiolense, Focus Fidelity, and REW filters.Autogain level matching with manual gain adjustment.Seamless real-time switching between filters.Designed for loudspeakers and headphones.The capability to level match digital correction filters to bypass level and switch seamlessly between filters in real-time has been designed into HLC. Ten years later, my DSP calibration clients were asking, how do I tell which filter sounds better? How do I know if it sounds better with or without the filter? So, the impetus for developing Hang Loose Convolver (HLC) had finally begun. I could not find one that would accomplish this however. Then, 10 years ago, while creating digital room correction filters as a hobbyist, I wanted a convolver that allowed easy level matching and real-time switching between filters so I could determine which one I liked best. It would have been great to have had something that was automated. It was our final opportunity to determine which eq gave us the best sound quality. The band, producer, and I would huddle in front of the mixing console and monitors while I manually switched in/out various “premastering” 2 channel eq before the mix heads off to the mastering lab. The need for a Hang Loose type of convolver began when I was working as a recording/mixing engineer in the 80’s. Meanwhile, look for an upcoming Master Class video on Digital Room Correction on my website homepage, which will teach you about the process. If interested, I hope to publish the results of the anonymized data in the next edition of my DSP book. This is what made (and makes) my DSP calibration service unique. Interesting patterns began to emerge, not only from the measurement data, but from client preferences for corrected in-room frequency responses.ĭata analysis of the acoustical measurements pointed to a mathematical formula for applying the optimum amount of digital room correction to achieve accurate sound. I also accumulated independent measurement data from different loudspeakers in different rooms from around the world. Coming back to my audio roots after decades in the software industry was fun, and I learned a lot. Since then, 125 individuals have used my service to calibrate their sound systems. ![]() Just over a year ago was kind enough to announce my new DSP calibration service here on ASR.
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