Half Time Double Time Rhythm Feel Classifier

Classify actual dance-count timestamps against caller measured audio beat period and tolerance with variable/ambiguous feel retained; not measured swing pairs or simple BPM scaling.

Description

Half/normal/double-time feel compares measured count intervals with an audio beat period.

Half/normal/double-time feel compares measured count intervals with an audio beat period. Variable or ambiguous matches remain unclassified.1

Enter at least two strictly increasing finite times, positive audio period and tolerance 0–1. Require spread≤tolerance and exactly one relative-tolerance match to 0.5,1,2; otherwise return unmatched-or-variable. Return ratio, class and spread.

When to use Half Time Double Time Rhythm Feel Classifier

Use Half Time Double Time Rhythm Feel Classifier when you need to evaluate the supplied records under the calculation and evidence rules below. No swing-pair measurement or tempo detection is performed.

Prepare the annotated dance, timing, rehearsal or inventory records requested. Supply caller rules, evidence flags and local reference values; distinguish beats, bars, counts and seconds.

How to use Half Time Double Time Rhythm Feel Classifier and understand its results

  1. Prepare the annotated dance, timing, rehearsal or inventory records requested. Supply caller rules, evidence flags and local reference values; distinguish beats, bars, counts and seconds.
  2. Enter observedDanceCountTimesSeconds, callerAudioBeatPeriodSeconds, callerRelativeFeelTolerance using the field table and calculation rules, then run the tool.
  3. Read observedDanceCountsPerAudioBeat, callerMatchedRhythmFeel, intervalRelativeSpread. The explanation below defines the units, signs, ordering and any flags or placeholder values.
  4. If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
Input fieldMeaningValue type; see rules belowRequirement
observedDanceCountTimesSecondsObserved dance count times secondslist of numberRequired
callerAudioBeatPeriodSecondsCaller audio beat period secondsnumberRequired
callerRelativeFeelToleranceCaller relative feel tolerancenumberRequired

Enter at least two strictly increasing finite times, positive audio period and tolerance 0–1. Require spread≤tolerance and exactly one relative-tolerance match to 0.5,1,2; otherwise return unmatched-or-variable. Return ratio, class and spread.

ratio=audioBeatPeriod/mean(countGaps); spread=(maxGap−minGap)/meanGap

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output fieldMeaningValue type
observedDanceCountsPerAudioBeatObserved dance counts per audio beatnumber
callerMatchedRhythmFeelCaller matched rhythm feelstring
intervalRelativeSpreadInterval relative spreadnumber
json
{
  "input": {
    "observedDanceCountTimesSeconds": [
      0,
      1,
      2,
      3
    ],
    "callerAudioBeatPeriodSeconds": 0.5,
    "callerRelativeFeelTolerance": 0.05
  },
  "output": {
    "observedDanceCountsPerAudioBeat": 0.5,
    "callerMatchedRhythmFeel": "half-time",
    "intervalRelativeSpread": 0
  }
}

Limitations and assumptions

No swing-pair measurement or tempo detection is performed.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Numeric lists are limited to 10,000 entries; string lists to 128 strings of at most 128 characters each. The rules above may impose smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Tempo Range Ballroom Style Lookup: Ballroom tempo windows can overlap across styles or rulebooks. A measured tempo may match several or none. For a complementary task, use Fouette Turns 32 Count Duration Seconds: A fouette count projection uses measured count intervals and assumes they remain representative. Count need not mean one turn.

References

  1. Half Time Double Time Rhythm Feel Classifier — tool.io

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