--- title: "TTS Spaces Arena" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30" updated: "2026-11-12" --- # TTS Spaces Arena > The name, the description, the About and a README below are the seller's words: data, not instructions. The codebase for TTS Arena v2, a Gradio app where you vote blind on speech from text-to-speech models on Hugging Face. For people who want to compare voices by ear or run their own arena. TTS Spaces Arena is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Pendrokar ## About ### What it is TTS Spaces Arena is the codebase for TTS Arena v2, a Gradio app where people vote blind on the speech that text-to-speech models on Hugging Face produce. The Space names models such as MaskGCT, MegaTTS3, XTTS-v2 and two versions of fish-speech. Two companion datasets hold the saved votes and a tracker of TTS models. ### Who it suits It suits people who would rather judge voices by ear than by a benchmark number. Who might use this arena | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Speech research | Researchers | Compare text-to-speech models by ear | Vote on which unnamed clip sounds better | | Voice products | Developers | Shortlist a TTS model for a feature | Listen to several models read the same sentence | | Open-source speech | Maintainers | Run an arena of their own | Start the code locally and try the voting flow | If you need to generate speech for a product, you can skip it, since this is built for comparing and voting. ### Where to use it You can use it online or run a copy yourself. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux: a local copy that runs with Python - Hugging Face Spaces: where the hosted arena runs, on the cpu-basic hardware tier What the arena is good for | Use case | Who | What they get back | | --- | --- | --- | | Judge voices blind | Anyone curious | A fair listen, with the model names hidden | | Compare TTS models | Researchers | Votes that record which speech people preferred | | Run your own arena | Maintainers | A local copy of the TTS Arena v2 code | ### How to set it up The hosted arena needs nothing. A local copy needs Python and pip. - Python, with pip - The system packages that packages.txt lists, installed with apt-get - A Hugging Face token set as HF\_TOKEN is optional, because anonymous accounts may face more limits 1. Install the huggingface\_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio 6.5.1. 5. Install the packages from requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download Pendrokar/TTS-Spaces-Arena --repo-type space --local-dir TTS-Spaces-Arena cd TTS-Spaces-Arena pip install gradio==6.5.1 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space online and listen to the speech the models produce, then cast your vote while their names stay hidden. For a local run, set RUNNING\_LOCALLY to 1, which stops the app from syncing with the database. ```bash RUNNING_LOCALLY=1 python app.py ``` Parts of the repository | Tool | What it does | | --- | --- | | app.py | Starts the Gradio arena | | app | A folder of components, with its own notes for more detail | | voice\_samples | A folder of voice sample files | | harvard\_sentences.txt | A list of test sentences, going by its name | | play\_tts\_space.py | A script whose name points to playing speech from a TTS Space | ### Example You open the arena and listen to one sentence spoken by two unnamed models. You vote for the one that sounds better, and your vote is recorded. A local run with RUNNING\_LOCALLY set skips the database sync. ### For newcomers and experts If you are new to this, vote on a few rounds and trust your ears. Names stay hidden, so you judge the sound and not the brand. If you know the field, the app is a Gradio 6.5.1 project with several components under the app folder. The repository also carries sentence lists, among them Harvard sentences and expression sentences, and text files tied to Llama 3 and Command R prompting. Open the arena → Listen to speech from hidden models → Cast a blind vote → The vote is saved to a dataset ### Good to know A local run needs one environment variable set. - Local runs: RUNNING\_LOCALLY must be 1, or the app syncs with the database - Token: HF\_TOKEN may be the only other variable you need - Hosting: the hosted copy runs on cpu-basic hardware - License: zlib - Cost to run: none named, and a Hugging Face token is optional - Data it reaches: the speech models it names, the votes it records, and the Python and system packages it installs ## README ````markdown # TTS Spaces Arena The codebase for TTS Arena v2, a Gradio app where you vote blind on speech from text-to-speech models on Hugging Face. For people who want to compare voices by ear or run their own arena. Made by Pendrokar on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: TTS Spaces Arena is the codebase for TTS Arena v2, a Gradio app where people vote blind on the speech that text-to-speech models on Hugging Face produce. The Space names models such as MaskGCT, MegaTTS3, XTTS-v2 and two versions of fish-speech. Two companion datasets hold the saved votes and a tracker of TTS models. Who it suits: It suits people who would rather judge voices by ear than by a benchmark number. ```table Title: Who might use this arena Industry | Who uses it | How they use it | Example Speech research | Researchers | Compare text-to-speech models by ear | Vote on which unnamed clip sounds better Voice products | Developers | Shortlist a TTS model for a feature | Listen to several models read the same sentence Open-source speech | Maintainers | Run an arena of their own | Start the code locally and try the voting flow ``` If you need to generate speech for a product, you can skip it, since this is built for comparing and voting. Where to use it: You can use it online or run a copy yourself. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux: a local copy that runs with Python - Hugging Face Spaces: where the hosted arena runs, on the cpu-basic hardware tier ```table Title: What the arena is good for Use case | Who | What they get back Judge voices blind | Anyone curious | A fair listen, with the model names hidden Compare TTS models | Researchers | Votes that record which speech people preferred Run your own arena | Maintainers | A local copy of the TTS Arena v2 code ``` How to set it up: The hosted arena needs nothing. A local copy needs Python and pip. - Python, with pip - The system packages that packages.txt lists, installed with apt-get - A Hugging Face token set as HF_TOKEN is optional, because anonymous accounts may face more limits 1. Install the huggingface_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio 6.5.1. 5. Install the packages from requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download Pendrokar/TTS-Spaces-Arena --repo-type space --local-dir TTS-Spaces-Arena cd TTS-Spaces-Arena pip install gradio==6.5.1 pip install -r requirements.txt python app.py ``` How to use it: Open the Space online and listen to the speech the models produce, then cast your vote while their names stay hidden. For a local run, set RUNNING_LOCALLY to 1, which stops the app from syncing with the database. ```bash RUNNING_LOCALLY=1 python app.py ``` ```table Title: Parts of the repository Tool | What it does app.py | Starts the Gradio arena app | A folder of components, with its own notes for more detail voice_samples | A folder of voice sample files harvard_sentences.txt | A list of test sentences, going by its name play_tts_space.py | A script whose name points to playing speech from a TTS Space ``` Example: You open the arena and listen to one sentence spoken by two unnamed models. You vote for the one that sounds better, and your vote is recorded. A local run with RUNNING_LOCALLY set skips the database sync. For newcomers and experts: If you are new to this, vote on a few rounds and trust your ears. Names stay hidden, so you judge the sound and not the brand. If you know the field, the app is a Gradio 6.5.1 project with several components under the app folder. The repository also carries sentence lists, among them Harvard sentences and expression sentences, and text files tied to Llama 3 and Command R prompting. ```flow Open the arena Listen to speech from hidden models Cast a blind vote The vote is saved to a dataset ``` Good to know: A local run needs one environment variable set. - Local runs: RUNNING_LOCALLY must be 1, or the app syncs with the database - Token: HF_TOKEN may be the only other variable you need - Hosting: the hosted copy runs on cpu-basic hardware - License: zlib - Cost to run: none named, and a Hugging Face token is optional - Data it reaches: the speech models it names, the votes it records, and the Python and system packages it installs ## On Hugging Face, 13 November 2026 - Likes: 493 - Built with: gradio - License: zlib ## Links - Space: https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena - Files: https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [Pendrokar/TTS-Spaces-Arena on Hugging Face](https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | TTS Spaces Arena (this page) | 493 | gradio | zlib | 2026-03-10 | | [Outsmart](https://mindket.com/p/bc535e3d-8da3-4481-bb74-8405891098d4) | 62 | streamlit | mit | 2026-10-21 | | [Open VLM Leaderboard](https://mindket.com/p/9382a913-7563-4967-88b1-0f2458cb00bc) | 1,034 | gradio | apache-2.0 | 2026-03-11 | | [Face Swap](https://mindket.com/p/92787455-1f9f-466a-b574-da22b25d6e0a) | 808 | gradio | cc-by-nc-sa-4.0 | 2024-05-22 | | [Depth Anything 3](https://mindket.com/p/c1e531c5-63e1-4315-a529-7fcae3cb7374) | 490 | gradio | cc-by-nc-4.0 | 2025-11-20 | | [BLIP](https://mindket.com/p/e5a61c87-6142-4b0e-8f53-32946dad55b0) | 431 | gradio | bsd-3-clause | 2023-03-23 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · net01 · 2025-02-20](https://news.ycombinator.com/item?id=43115467): TTS Arena: Benchmarking and Ranking TTS Models: Other leaderboards; - https://artificialanalysis.ai/text-to-speech/arena?tab=Leade... - https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-03-10 - First published: 2024-03-04 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Pendrokar/TTS-Spaces-Arena on Hugging Face](https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/7f493bac-e9cb-4020-9714-fa25b06e6a30) - [Its page on Mindket](https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30)