Groove Syndika Records

Benchmark Protocol

​

Purpose

To scientifically verify originality and detect any accidental overlap between AI-assisted tracks and pre-existing commercial works, using advanced audio-fingerprinting recognition methods.

​

Step 1 – Test Environment

• Playback Sources: Controlled digital streaming for reference benchmarks; isolated rendering engines for Groove Syndika originals.

• Output Path: High-fidelity smart audio systems replicating consumer-grade playback.

• Capture Device: Multi-sensor mobile platform with integrated microphones and adaptive noise filtering.

• Recognition Framework: Industry-standard audio-fingerprinting algorithms capable of micro-pattern detection.

​

Step 2 – Testing Methodology

• Each track undergoes analysis at three critical points:

  • Intro – transient recognition risk (first seconds).

  • Mid – harmonic and rhythmic core (~60–90 sec).

  • Outro – decay, fade, and residual motifs.

• Results captured as immutable timestamped records.

• Repeated runs ensure statistical consistency and eliminate one-off anomalies.

​

Step 3 – Verification Criteria

• Pass Condition: Audio-fingerprinting system returns null match or indicates “pattern not in database.”

• Fail/Flag Condition: System attempts to align track with a commercial reference.

​

Step 4 – Escalation Protocol

• Flagged results are archived with supporting evidence.

• Retesting occurs across multiple sessions to eliminate environmental bias.

• Outcomes:

  • Repeated null → cleared.

  • Repeated match → track formally retired/altered, logged as withdrawn for similarity.

​

Step 5 – Recordkeeping & Transparency

• Every result (pass, fail, retire) is stored in the Groove Syndika Benchmark Archive.

• The archive is accessible to demonstrate accountability and transparency.

​

Step 6 – Continuous Learning

• Withdrawn tracks undergo post-mortem analysis (tempo mapping, chord progression clustering, melodic fingerprint cross-reference).

• Insights are fed back into prompting and arrangement processes, ensuring progressive refinement and strengthening originality assurance.