README.md

metadata

language:
  - en
tags:
  - arena

Arena's DB is SQLlite DB file. The above is just a summary query that should be useful for TTS developers to evaluate faults of their model.

Useful queries for TTS developers and evaluators

All votes mentioning specified TTS model:

SELECT
    spokentext, lang, chosen, rejected, count(spokentext) AS times, MAX(vl.timestamp) AS lastvote
FROM "main"."spokentext"
    INNER JOIN votelog vl ON votelog_id = vl.id
WHERE
vl.chosen = "Pendrokar/xVASynth-TTS"
OR vl.rejected = "Pendrokar/xVASynth-TTS"
GROUP BY spokentext, chosen, rejected
ORDER BY times DESC, spokentext ASC
LIMIT 0, 49999;

All rejections of specified TTS model against another:

SELECT
    spokentext, lang, chosen, rejected, count(spokentext) AS times, MAX(vl.timestamp) AS lastvote
FROM "main"."spokentext"
    INNER JOIN votelog vl ON votelog_id = vl.id AND vl.rejected = "Pendrokar/xVASynth-TTS"
GROUP BY spokentext, chosen
ORDER BY spokentext ASC
LIMIT 0, 49999;

All rejections of a TTS model against another:

The one used in dataset viewer.

SELECT
    spokentext,
    (COUNT(DISTINCT chosen) || ' ' || GROUP_CONCAT(DISTINCT chosen)) AS chosen,
    rejected,
    count(spokentext) AS times,
    MAX(vl.timestamp) AS lastvote
FROM "main"."spokentext"
    INNER JOIN votelog vl ON votelog_id = vl.id
GROUP BY spokentext, rejected
ORDER BY
    (COUNT(DISTINCT chosen) * times) DESC,
    COUNT(DISTINCT chosen) DESC,
    spokentext ASC
LIMIT 0, 49999;

If you use this data in your publication, please cite us!

Copy the BibTeX citation to cite this source:

@misc{tts-arena,
    title        = {Text to Speech Arena - Pendrokar's HF Spaces Fork},
    author       = {mrfakename and Srivastav, Vaibhav and Fourrier, Clémentine and Pouget, Lucain and Lacombe, Yoach and main and Gandhi, Sanchit},
    year         = 2024,
    publisher    = {Hugging Face},
    howpublished = "\\url{https://huggingface.co/spaces/TTS-AGI/TTS-Arena}"
}