Haas Precedence Window Lookup

Qualified caller-reference retrieval for Haas Precedence Window Lookup. Independently applicable actual stimulus/room/listener/delaylevelratio and independently measuredHaasprecedencewindow. Does not compute omitted scientific/design/predictive models or publish authoritative complete tables. Source truth and applicability external;examples illustrative. No diagnosis,compliance,identity determination,safe-use approval or guaranteed forecast.

Description

The precedence or Haas effect concerns perception when a direct sound is followed by a delayed copy.

The precedence or Haas effect concerns perception when a direct sound is followed by a delayed copy.1

A suitable time window depends on level, signal, room and listener; this tool retrieves a caller-supplied qualified record instead of choosing a universal delay.

When to use Haas Precedence Window Lookup

Use this tool to select a specific record from a reference set you have independently verified.

How to use Haas Precedence Window Lookup and how it works

  1. Identify the applicable source edition, conditions and date for Haas Precedence Window Lookup.
  2. Enter that context and the aligned reference keys and texts, then set queryReferenceKey to an exact key.
  3. Run the tool and read result.qualifiedReferenceText together with result.source, result.context and result.asOfDate.
  4. If the key is rejected, inspect spelling, case, duplicate keys and list alignment; review the selected record against the original source before applying it.
Input fieldMeaningValue typeRequirement
callerVerifiedSourceIdentifier for the source and edition independently checked by the caller.stringrequired; further conditions in the algorithm
callerVerifiedContextApplicability, units, population or measurement conditions for the supplied evidence.stringrequired; further conditions in the algorithm
callerVerifiedAsOfDateReal Gregorian as-of date in YYYY-MM-DD format.stringrequired; further conditions in the algorithm
callerReferenceKeysDistinct nonblank exact identifiers aligned with reference texts.array of stringrequired; dense; align related rows as specified; at most 128 strings; 128 UTF-16 units each; further conditions in the algorithm
callerReferenceTextsNonblank records aligned with reference keys; supplied by the caller.array of stringrequired; dense; align related rows as specified; at most 128 strings; 512 UTF-16 units each; further conditions in the algorithm
queryReferenceKeyExact case-sensitive key of the record to retrieve.stringrequired; further conditions in the algorithm

Validate a nonblank bounded source and context and a real Gregorian as-of date. Require aligned nonempty keys and texts, distinct nonblank keys and nonblank records. Find the query with exact case-sensitive index matching; return that record and source, context and date unchanged. An absent key is an input error. No source is fetched or independently verified.

selected text = callerReferenceTexts[indexOf(queryReferenceKey in callerReferenceKeys)]

Apply the declared units, ordering and branch conditions.

Output fieldMeaningValue type
resultObject containing the declared output fields.object
result.qualifiedReferenceTextExact selected caller-supplied record text, unchanged.string
result.sourceCaller-supplied source identifier, returned unchanged.string
result.contextCaller-supplied applicability context, returned unchanged.string
result.asOfDateCaller-supplied Gregorian as-of date, returned unchanged.string
json
{
  "input": {
    "callerVerifiedSource": "independently-reviewed-source/edition",
    "callerVerifiedContext": "The precedence or Haas effect concerns perception when a direct sound is followed by a delayed copy. A suitable time window depends on level, signal, room and listener; this tool retrieves a caller-supplied qualified record instead of choosing a universal delay. Synthetic record/calibration; replace with independently applicable evidence.",
    "callerVerifiedAsOfDate": "2026-01-01",
    "callerReferenceKeys": [
      "record-a",
      "record-b"
    ],
    "callerReferenceTexts": [
      "Illustrative qualified record; replace with actual independently applicable source evidence.",
      "Second illustrative record, not normative data."
    ],
    "queryReferenceKey": "record-a"
  },
  "output": {
    "result": {
      "qualifiedReferenceText": "Illustrative qualified record; replace with actual independently applicable source evidence.",
      "source": "independently-reviewed-source/edition",
      "context": "The precedence or Haas effect concerns perception when a direct sound is followed by a delayed copy. A suitable time window depends on level, signal, room and listener; this tool retrieves a caller-supplied qualified record instead of choosing a universal delay. Synthetic record/calibration; replace with independently applicable evidence.",
      "asOfDate": "2026-01-01"
    }
  }
}

Limitations and assumptions

The operation is caller-reference retrieval. You supply and verify the relevant records; the title does not imply an installed authoritative table, scientific classifier, calculator or assessment. Source accuracy, rights, applicability and freshness are external responsibilities.

Supply explicit required fields with the documented types and dense aligned arrays. Unknown fields, wrong types and nonfinite numbers are rejected. Branch-specific constraints are explained above. A returned boolean, signed difference or tied result follows the stated convention; an input error instead means the required input contract was not satisfied. Very large inputs or outputs may be rejected by shared resource limits.

Alternative or Complementary methods

For a related operation, use Ground Reflection Two Ray Calculator. A coherent two-ray model combines direct and reflected pressure paths, allowing reinforcement or cancellation.

For a related operation, use Localization ILD Threshold Lookup. Interaural level difference contributes to sound localization under stimulus- and listener-dependent conditions.

References

  1. Haas Precedence Window Lookup — tool.io

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