Authenticity is Everything
Has anyone tried this Verimarx Ai tool that's advertised on this site?
Was wondering if anyone here has used it here and had it work well? I can't find much information on this tool, supposedly it detects forgeries, just wanted thoughts on it.
Replies to This Discussion
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Permalink Reply by Dominick Lisi
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If I understand correctly (I may be off here), yes, depending on the system. Some tools or evaluators can go beyond a quick “IP-style rush” identification and actually gauge things like string contrast, placement, and the instrument’s full tonal signature. That means analyzing how the sound projects across strings, the balance between registers, and the overall character of the instrument rather than just making a rapid attribution.
However, not all systems do this. Many quick assessments focus only on fast identification markers (the “IP rush” idea) rather than a holistic tonal profile. Evaluating a full signature typically requires more detailed listening, higher-quality recordings, or expert analysis.
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Permalink Reply by Eric Keith Longo
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I mean "strong contrast" not "string"...
"...string contrast, placement, and the instrument’s full tonal signature. That means analyzing how the sound projects across strings, the balance between registers, and the overall character of the instrument" & "listening" & "recording..." - is AI writing this response? "Error" and not "era" the other day?
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Yes...I gave that a reread....see my subsequent answer...
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Yes it was AI?
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Eric, this question was part of our original "dissertation" question as it relates to the overall quality and consistency of the proposed project. This was a bit of a cut and paste. However, the facts and the applications purpose, format, and operation remain the same. Of course we use AI! That's sort of the point, isn't it?
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When you start talking about musical instruments as autographs I must wonder.
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Eric...to incorporate this concept with regard to an AI tool like VeriMarx, the idea of evaluating a “full signature” versus an “IP rush” can be understood as the difference between a quick visual identification and a deeper forensic examination. A rushed identification approach focuses mainly on obvious visual traits—such as the overall shape of the signature, recognizable letter forms, and general resemblance to known exemplars. While this can sometimes detect clear mismatches, it is not very reliable when dealing with skilled forgeries, because a capable forger may reproduce the outward appearance of a signature with considerable accuracy. A full signature analysis, by contrast, examines how the autograph was actually produced. Experts study elements such as line quality, stroke order and direction, pen pressure variation, spacing and proportion, and the natural rhythm and fluency of the writing. Authentic signatures typically reflect fluid, habitual motion created by muscle memory, showing natural speed and pressure changes, while forgeries often reveal hesitation, tremor, patching, or strokes that appear drawn rather than written. Microscopic inspection may also reveal pen lifts, ink pooling, or retouching that indicate simulation.
An AI-based authentication tool can incorporate this same concept by analyzing far more than the visual outline of a signature. Instead of relying solely on pattern matching, advanced systems evaluate the signature as a dynamic structure, extracting features related to stroke geometry, curvature, pressure patterns (when available), spacing relationships, and subtle variations in line quality. Machine learning models are trained on sets of verified authentic signatures to learn the consistent behavioral patterns unique to a signer. When a questioned autograph is analyzed, the AI compares these deeper structural features against the learned profile, looking for deviations that suggest simulation. In effect, the system attempts to model the signer’s writing behavior, not just the shape of the signature. By combining visual comparison with statistical analysis of stroke characteristics and internal structure, AI tools can approximate the kind of holistic evaluation that forensic handwriting experts perform during a full signature analysis, helping distinguish genuine signatures from high-quality forgeries with greater reliability.
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You write that in 3 minutes? Wow!
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Eric, this question was part of our original "dissertation" question as it relates to the overall quality and consistency of the proposed project. This was a bit of a cut and paste.
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To fair...when you mentioned strings in your original question...we were, in fact, wondering... However, it applies to sound in a similar way. As a musician myself, I can confirm. If it's AI that scares you.. perhaps consider historical similarities. As a military historian, one remembers Admirals that were certain that the airplane was a passing fad, that computers were just for gaming, and that the automobile was simply a contraption that would never last.....
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The term "strong contrast" is used often enough in this context.
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As it should.
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