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--- |
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language: |
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- en |
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tags: |
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- arena |
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--- |
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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. |
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## Why no audio samples? |
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Unsafe. Cannot constantly oversee the output of uncontrolled HuggingFace Spaces. While it could be safeguarded by using an ASR model before uploading, something unwanted may still slip through. |
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## Useful queries for TTS developers and evaluators |
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### All votes mentioning specified TTS model: |
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```sql |
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SELECT |
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spokentext, lang, chosen, rejected, count(spokentext) AS times, MAX(vl.timestamp) AS lastvote |
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FROM "main"."spokentext" |
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INNER JOIN votelog vl ON votelog_id = vl.id |
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WHERE |
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vl.chosen = "Pendrokar/xVASynth-TTS" |
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OR vl.rejected = "Pendrokar/xVASynth-TTS" |
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GROUP BY spokentext, chosen, rejected |
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ORDER BY times DESC, spokentext ASC |
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LIMIT 0, 49999; |
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``` |
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### All rejections of specified TTS model against another: |
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```sql |
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SELECT |
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spokentext, lang, chosen, rejected, count(spokentext) AS times, MAX(vl.timestamp) AS lastvote |
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FROM "main"."spokentext" |
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INNER JOIN votelog vl ON votelog_id = vl.id AND vl.rejected = "Pendrokar/xVASynth-TTS" |
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GROUP BY spokentext, chosen |
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ORDER BY spokentext ASC |
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LIMIT 0, 49999; |
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``` |
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### All rejections of a TTS model against another: |
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**The one used in dataset viewer.** Note that the `chosen` column may include models that the `rejected` model beat more times. That is also why `times_chosen` may be more than the amount of distinct chosen models. |
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```sql |
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SELECT |
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st.spokentext, |
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(COUNT(DISTINCT vl.chosen) || ' ' || GROUP_CONCAT(DISTINCT vl.chosen)) AS chosen, |
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vl.rejected, |
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COUNT(vl.rejected) - COALESCE(chosen_counts.chosen_count, 0) AS times_chosen, |
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MAX(vl.timestamp) AS lastvote |
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FROM |
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votelog vl |
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JOIN |
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spokentext st ON vl.id = st.votelog_id |
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LEFT JOIN ( |
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SELECT |
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st_inner.spokentext, |
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vl_inner.chosen, |
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COUNT(vl_inner.chosen) AS chosen_count |
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FROM |
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votelog vl_inner |
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JOIN |
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spokentext st_inner ON vl_inner.id = st_inner.votelog_id |
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GROUP BY |
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st_inner.spokentext, |
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vl_inner.chosen |
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ORDER BY |
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chosen_count DESC |
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) AS chosen_counts ON st.spokentext = chosen_counts.spokentext AND vl.rejected = chosen_counts.chosen |
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GROUP BY |
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st.spokentext, |
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vl.rejected |
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HAVING times_chosen > 0 |
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ORDER BY |
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((times_chosen * COUNT(DISTINCT vl.chosen)) / 2) DESC, |
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COUNT(DISTINCT vl.chosen) DESC, |
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st.spokentext ASC; |
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``` |
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If you use this data in your publication, please cite us! |
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Copy the BibTeX citation to cite this source: |
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```bibtext\n |
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@misc{tts-arena, |
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title = {Text to Speech Arena - Pendrokar's HF Spaces Fork}, |
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author = {mrfakename and Srivastav, Vaibhav and Fourrier, Clémentine and Pouget, Lucain and Lacombe, Yoach and main and Gandhi, Sanchit}, |
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year = 2024, |
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publisher = {Hugging Face}, |
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howpublished = "\\url{https://huggingface.co/spaces/TTS-AGI/TTS-Arena}" |
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} |
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``` |
