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buckeye

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  1. .gitattributes +1 -0
  2. README.md +76 -0
  3. audio/s0101a_000.wav +3 -0
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.gitattributes CHANGED
@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ manifest.json filter=lfs diff=lfs merge=lfs -text
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+ # Buckeye Corpus - Forced Alignment Benchmark
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+
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+ Segmented utterances from the [Buckeye Corpus of Conversational Speech](https://buckeyecorpus.osu.edu/) (v2.0) with **human-annotated word-level timestamps**, prepared for forced alignment benchmarking.
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+
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+ ## Dataset Stats
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+
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+ | Metric | Value |
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+ |--------|-------|
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+ | Speakers | 20 (s01-s20) |
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+ | Segments | 2,478 |
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+ | Total words | 145,762 |
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+ | Total audio | 16.1 hours |
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+ | Audio format | 16kHz mono PCM WAV |
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+ | Avg segment | 23.3s |
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+ | Words per segment | 3-123 (avg 59) |
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+
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+ ## Structure
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+
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+ ```
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+ buckeye-forced-alignment-benchmark/
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+ manifest.json # metadata + ground truth word timestamps
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+ audio/
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+ s0101a_000.wav # segmented audio clips
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+ s0101a_001.wav
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+ ...
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+ ```
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+
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+ ## manifest.json Format
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+
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+ ```json
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+ {
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+ "dataset": "Buckeye Corpus v2.0",
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+ "speakers": 20,
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+ "total_segments": 2478,
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+ "total_words": 145762,
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+ "samples": [
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+ {
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+ "id": "s0101a_000",
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+ "speaker": "s01",
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+ "audio": "audio/s0101a_000.wav",
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+ "transcript": "okay um i'm lived in columbus...",
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+ "duration_s": 24.96,
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+ "num_words": 25,
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+ "words": [
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+ {"word": "okay", "start_ms": 100.0, "end_ms": 505.5},
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+ {"word": "um", "start_ms": 12501.4, "end_ms": 12830.3},
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+ ...
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+ ]
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+ }
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+ ]
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+ }
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+ ```
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+
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+ ## Ground Truth
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+
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+ Word timestamps are from Buckeye's **human phonetic labeling** — hand-corrected by trained annotators. The `start_ms` and `end_ms` for each word are derived from the `.words` annotation files.
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+
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+ ## Segmentation
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+
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+ Long conversation recordings (5-12 min each) were segmented into utterances at silence/noise boundaries (`<SIL>`, `<IVER>`, `<VOCNOISE>` tokens with gaps > 0.3s). Segments are 2-25 seconds with minimum 3 real words.
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+
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+ ## Intended Use
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+
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+ Benchmarking forced alignment systems by comparing predicted word timestamps against human ground truth. Primary metric: **AAS (Accumulated Average Shift)** — mean absolute boundary error in milliseconds.
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+
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+ ## Citation
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+
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+ ```
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+ Pitt, M.A., Johnson, K., Hume, E., Kiesling, S., & Raymond, W. (2005).
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+ The Buckeye corpus of conversational speech: labeling conventions and a test of transcriber reliability.
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+ Speech Communication, 45, 89-95.
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+ ```
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+
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+ ## License
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+
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+ The Buckeye Corpus is free for noncommercial use. See [buckeyecorpus.osu.edu](https://buckeyecorpus.osu.edu/) for terms.
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