Stress-Timed vs Syllable-Timed Classifier

Audit measured nPVI, population syllable variability and %V over reconciled actual interval coverage under caller threshold; does not assign language rhythm classes, prove isochrony or extract intervals from audio.

Description

Rhythm metrics summarize measured interval variability.

Rhythm metrics summarize measured interval variability. They do not by themselves establish stress timing, syllable timing or isochrony.^[1]

Enter at least two positive syllable durations, nonempty positive vocalic/consonantal intervals and nonnegative threshold. Require inventories to cover the same duration within relative tolerance 1e−8. Return nPVI, population SD/mean, %V and strict-above flag.

When to use Stress-Timed vs Syllable-Timed Classifier

Use Stress-Timed vs Syllable-Timed Classifier when you need to evaluate the supplied records under the calculation and evidence rules below. No audio intervals are extracted or language rhythm class assigned; denominator definitions must match the observation window.

Prepare explicit text tokens, annotated language observations, caller mappings or a supported locale as requested. Preserve source evidence and the stated Unicode counting convention.

How to use Stress-Timed vs Syllable-Timed Classifier and understand its results

Prepare explicit text tokens, annotated language observations, caller mappings or a supported locale as requested. Preserve source evidence and the stated Unicode counting convention.
Enter observedSyllableDurationsMs, observedVocalicIntervalsMs, observedConsonantalIntervalsMs, callerHighNpviThreshold using the field table and calculation rules, then run the tool.
Read syllableNormalizedPairwiseVariabilityIndex, syllablePopulationCoefficientOfVariation, observedVocalicIntervalSharePercent, aboveCallerNpviThreshold. The explanation below defines the units, signs, ordering and any flags or placeholder values.
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 field	Meaning	Value type; see rules below	Requirement
observedSyllableDurationsMs	Observed syllable durations ms	list of number	Required
observedVocalicIntervalsMs	Observed vocalic intervals ms	list of number	Required
observedConsonantalIntervalsMs	Observed consonantal intervals ms	list of number	Required
callerHighNpviThreshold	Caller high npvi threshold	number	Required

nPVI=100×mean(abs(adjacent difference)/adjacent mean); %V=100V/(V+C)

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

Output field	Meaning	Value type
syllableNormalizedPairwiseVariabilityIndex	Syllable normalized pairwise variability index	number
syllablePopulationCoefficientOfVariation	Syllable population coefficient of variation	number
observedVocalicIntervalSharePercent	Observed vocalic interval share percent	number
aboveCallerNpviThreshold	Above caller npvi threshold	boolean

json

{
  "input": {
    "observedSyllableDurationsMs": [
      100,
      200,
      100
    ],
    "observedVocalicIntervalsMs": [
      100,
      100
    ],
    "observedConsonantalIntervalsMs": [
      100,
      100
    ],
    "callerHighNpviThreshold": 50
  },
  "output": {
    "syllableNormalizedPairwiseVariabilityIndex": 66.66666666666666,
    "syllablePopulationCoefficientOfVariation": 0.35355339059327373,
    "observedVocalicIntervalSharePercent": 50,
    "aboveCallerNpviThreshold": true
  }
}

Limitations and assumptions

No audio intervals are extracted or language rhythm class assigned; denominator definitions must match the observation window.

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. A successfully returned false flag is an evaluated outcome; its meaning is explained above.

Alternative or Complementary methods

Use Register vs Contour Tone Classifier: A sampled relative-pitch trajectory can be flat, directional or turning. A declared tolerance controls which adjacent changes count as trends. For a complementary task, use Mutual Intelligibility Percent Pair Lookup: Comprehension can differ by testing direction. Pooling observed words weights directions by their actual test sizes.

References

Stress-Timed vs Syllable-Timed Classifier — tool.io

Similar or alternative tools

Register vs Contour Tone Classifier
A sampled relative-pitch trajectory can be flat, directional or turning. A declared tolerance controls which adjacent changes count as trends.
Mutual Intelligibility Percent Pair Lookup
Comprehension can differ by testing direction. Pooling observed words weights directions by their actual test sizes.