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--- |
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license: mit |
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task_categories: |
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- text-to-speech |
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language: |
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- en |
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tags: |
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- mean-opinion-score |
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- text-to-speech |
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- speech |
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- lj-speech |
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- speech-quality |
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- intelligibility |
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- naturalness |
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- human-evaluation |
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- mturk |
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- evaluation |
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- crowdsourcing |
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pretty_name: LJ Speech MOS 120 Dataset |
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size_categories: |
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- 10K<n<100K |
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--- |
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# LJS-MOS-120: Human MOS Ratings for 120 Samples of the LJ Speech Dataset |
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**LJS-MOS-120** provides Mean Opinion Score (MOS) ratings for 120 text-to-speech (TTS) samples based on the [LJ Speech](https://keithito.com/LJ-Speech-Dataset) dataset. Each sample was rated by human annotators for **intelligibility** and **naturalness** across four experimental TTS conditions. The dataset follows the **Tidy data format**, with one row per rating per dimension. |
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Ratings were collected via **Amazon Mechanical Turk (MTurk)** in 2022. Each entry includes the worker ID (anonymized), gender (`male`, `female`), age group (`18–29`, `30–49`, `50+`), and headphone usage. |
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## TTS Conditions |
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- `gt`: Ground truth (original human recording) |
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- `wg`: Ground truth Mel-spectrogram resynthesized with WaveGlow |
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- `impl`: Mel-spectrogram generated using an **implicit duration model** ([Zenodo](https://zenodo.org/records/10200955)) and synthesized with WaveGlow |
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- `expl`: Mel-spectrogram generated using an **explicit duration model** ([Zenodo](https://zenodo.org/records/10107104)) and synthesized with WaveGlow |
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## Dataset Format |
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Each row contains: |
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- `audio`: path to the WAV file |
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- `file`: filename (e.g., `LJ002-0092`) |
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- `condition`: one of `gt`, `wg`, `impl`, `expl` |
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- `score_dimension`: `intelligibility` or `naturalness` |
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- `score`: integer rating (1–5) |
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- `worker_id`: anonymized integer ID |
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- `gender`, `age_group`, `used_headphone`: rater metadata |
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- `assignment_id`, `hit_id`, `state`: MTurk metadata |
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## License |
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- LJ Speech: Public Domain (CC0) |
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- This dataset: MIT License |
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## Acknowledgements |
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- Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 416228727 – CRC 1410 |
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