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ASR Extra — 2222 Transcript (JSON)

Ground-truth transcript for extra ASR utterance 2222.

Preview — first 8 linesjson
{
  "id": "bx-2222",
  "text": "two two two two",
  "digits": "2222",
  "seed": 821,
  "note": "Synthetic tone-digit utterance \u2014 not real speech."
}

Specifications

Digits
2222
Text
two two two two
Role
ground truth

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“ASR Extra — 2222 Transcript (JSON)” is a deterministic Novus Examples fixture for ASR testing, JSON parsing. Short synthetic digit/tone utterances with transcript JSON and clean↔noise pairs — for testing ASR loaders, WER harnesses, and audio preprocessing.

Documented properties for this file: ground truth. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Media fixtures are short and synthetic by design. Prefer waveform or transcript ground truth in the same group when measuring ASR, trim, upscale, or sync tools; do not assume broadcast-quality masters.

Run ASR on the clip and score the transcript against the documented ground-truth script; clips are short, synthetic, and read from a fixed word or digit sequence.

Code examples

import json

with open("bx-2222-transcript.json") as f:
    data = json.load(f)
print(type(data), len(data))

Generated by generation/breadth_extra_wave_c.py. Free for any use, no attribution required — license.