The spectral approach offers a range of distinct benefits, not least the ability to visualise and edit audio in both time and spectral dimensions. RX was originally conceived as a spectral-based audio editor, offering a sonic ‘fingerprint’ of any given sound as well as the traditional waveform editor you’re used to seeing in a typical DAW. Pleasingly, there’s also a distinct focus on RX’s use in both music and post-production activities, making RX6 a tempting proposition to a range of audio professionals working with problematic audio.
RX6 is possibly the biggest update of the application to date, with a series of new modules, as well as a new tier to the application in the form of RX Elements. paul.Since RX was first released in 2008, iZotope has produced a series of updates to its powerful spectral-based audio editor, making it one of the most effective audio-repair systems available. These options, along with the ubiquitous Integrated Loudness definition (and of course subjective audio processing) should provide everything you need in your quest to achieve optimized dialogue. With regards to Loudness Normalization – some processing tools such as RX Loudness Control by iZotope (AAX/Pro Tools only) support user defined Short Term and Momentary Loudness targeting within a certain tolerance range.
Learn how to use a Loudness Meter (online or offline) to closely monitor each descriptor. Short Term and Momentary Loudness are useful indicators for the establishment of spoken word consistency. As noted there are 3 descriptors (Integrated, Short Term, Momentary). To summerize: “LUFS Level” is a generalization. Momentary Loudness will provide even finer “detail” – once again due to it’s inherent averaging interval (400ms). It is highly useful when analyzing the loudness consistency of spoken word/dialogue. averaging interval of the Short Term Loudness descriptor indicates an active, foreground measurement. What about Short Term/Momentary Loudness? With this in mind, if you choose to use Integrated Loudness as a perceptual Loudness matching indicator – audio optimization (compression, etc.) and target accuracy must be applied and established before relying on any common Integrated Loudness measurement. Also, the descriptor does not reflect inherent dynamic attributes and/or inconsistencies that my in turn marginalize attempts to optimize perception. For 100% accuracy – the piece must be measured in it’s entirety. Remember – Integrated Loudness represents a cumulative measurement from start to finish. It’s important to recognize the significance of each descriptor.Īs well, (and Chris alludes to this in his piece) – you must recognize how a consistent Integrated Loudness measurement across multiple spoken word segments (or session participants) does not necessarily guarantee suitable matched level perception and/or optimized intelligibility. Their distinguishing attributes are distinct time and/or averaging intervals: Integrated (cumulative measurement from start to finish), Short Term (3 sec.), and Momentary (400ms). Integrated Loudness (also referred to as Program Loudness).There are 3 notable measurement descriptors that indicate perceptual Loudness in LUFS/LKFS (or LU’s when using a relative scale): So it’s a handy practice to set the LUFS level of each participant to the same value, but then you still have to use your ears.” <<< Because even when the LUFS level of two different voices is the same, the perceived loudness of each voice can differ due to things like proximity to the mic, dynamic range, frequency response of the mic, the timbre of individual voices, etc. This will make them close to level, but you will always want to adjust the levels slightly using your ears. > “Another way to quickly balance the levels of various participants is to process each participants track to be the same LUFS level. Chris explains the importance of consistent dialogue levels across multiple participants, and shares various methods to achieve this. The piece is titled Balancing the Levels of All Voices. I was just reading Chris Curran’s Daily Goody segment, published today.