Audio Analysis and Clarification

We can supply two options for the clarification of digital audio to reduce the effects of recording defects and improve the intelligibility of voice recordings, click on the logos to go direct to the product page.

CARDINAL MiniLab Suite is a set of ten plug-ins that provide a comprehensive toolset for cleaning and clarifying noisy audio recordings that contain speech.

With a familiar user interface to audio forensics experts throughout the world who have been trained on “DAC” filtering products, the MiniLab Suite operates within your favorite audio / video editing software, and is capable of reducing many different types of noises in voice recordings, including tonal noises, room “rumble”, hum, engine noises, motors and fans, static, hiss, and background interferers such as radio or television. Certain MiniLab plug-ins can also reverse acoustical and equipment effects that degrade voice intelligibility, such as muffling, spectral coloration, echo/reverberation, near/far distances and microphone concealment issues, and poor frequency response of the recording equipment.

Unique to the MiniLab Suite, the Filter Chain plug-in allows combinations of multiple filters to be previewed and applied by the editing software simultaneously, and includes numerous preset solutions to common noise problems to save time vs. configuring every filter manually. Additionally, a reporting function details the complete filtering arrangement and settings in a single, printable document (HTML or Word), complete with screen captures for all filters.

 

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The QuickEnhance® Plug-In provides six sequential stages of speech clarification filtering in a single plug-in that can be operated within many PC-based audio/video editor platforms, including Adobe Audition, Sony Sound Forge, Acon Acoustica, iZotope, Audacity, Avid Pro Tools, and Avid Media Composer.

With an innovative user interface designed for simple, intuitive operation by novice and occasional users, QuickEnhance efficiently and effectively improves the intelligibility of voice recordings by reducing typical background noise sources such as hum, motors and fans, static, and hiss.

Additionally, reverberations in speech can be reduced, and multi-band equalization can be applied to improve the final sound quality, with a final AGC stage compensating for near/far talker level differences in the clarified conversation.

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