--- title: "Teochew Whisper" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/73c891d0-ea15-4195-b7f7-e6e61fc18c66" updated: "2026-11-12" --- # Teochew Whisper > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio demo of a Whisper speech model fine-tuned for Teochew, for people who want to try speech recognition for this Chinese regional language in a browser or on their own computer. Teochew Whisper 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 panlr ## About ### What it is Teochew Whisper is a speech recognition demo for Teochew, a Chinese regional language. Going by the model name panlr/whisper-finetune-teochew, it runs a Whisper model that was fine-tuned for Teochew speech. The repository also holds a sample audio file called example.wav. ### Who it suits It suits people who work with Teochew speech and want to see what automatic transcription can do with it. Who might use this demo | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Linguistics | Researchers | Test automatic transcription on a regional language | Play a short Teochew recording through the demo | | Speech technology | Developers | See how a fine-tuned Whisper model handles a small language | Compare its output with a transcript you trust | | Language learning | Learners and heritage speakers | Check a spoken phrase against written text | Record a short phrase and read what comes back | If you need another language or dialect, you can skip it. ### 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 demo runs, on the cpu-basic hardware tier What the demo is good for | Use case | Who | What they get back | | --- | --- | --- | | Transcribe Teochew speech | Researchers | Text produced from a spoken recording | | Try the sample clip | Anyone curious | The result for the bundled example.wav file | | Test a fine-tuned model | Developers | A quick look at how it performs on audio they choose | ### How to set it up The hosted demo needs nothing. A local copy needs Python and pip. - Python, with pip - The Python packages that requirements.txt lists 1. Install the huggingface\_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio 5.21.0. 5. Install the packages from requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download panlr/teochew_whisper --repo-type space --local-dir teochew_whisper cd teochew_whisper pip install gradio==5.21.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space online, or start your copy with the command below. Then use the controls on the page to supply a Teochew recording and read the text it returns. ```sh python app.py ``` The files you will meet | Tool | What it does | | --- | --- | | app.py | Starts the Gradio page when you run it with Python | | example.wav | A sample audio file you can use to try the demo | | requirements.txt | Lists the Python packages the app needs | ### Example You open the Space and give it a short Teochew recording, such as the bundled example.wav. The page returns the words it heard as written text. ### For newcomers and experts If you are new to this, try the sample clip first, then a short recording of your own. Short, clear audio gives the cleanest test. If you know the field, the demo wraps a community fine-tune of Whisper for a language that general speech models cover thinly. The front end is Gradio 5.21.0, and the hosted copy runs on a CPU tier. The notes give no accuracy figures or training data details. Open the Space or run app.py → Supply a Teochew recording → The fine-tuned Whisper model listens → You read the text it returns ### Good to know The Space's notes are brief, so open the page to see exactly what it returns. - Hosting: the hosted copy runs on cpu-basic hardware - Notes: the README only points to Hugging Face's configuration reference - License: cc-by-4 - Cost to run: none named - Data it reaches: the audio you supply, plus the Python packages pip installs from requirements.txt - Not for: languages other than Teochew ## README ````markdown # Teochew Whisper A Gradio demo of a Whisper speech model fine-tuned for Teochew, for people who want to try speech recognition for this Chinese regional language in a browser or on their own computer. Made by panlr 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: Teochew Whisper is a speech recognition demo for Teochew, a Chinese regional language. Going by the model name panlr/whisper-finetune-teochew, it runs a Whisper model that was fine-tuned for Teochew speech. The repository also holds a sample audio file called example.wav. Who it suits: It suits people who work with Teochew speech and want to see what automatic transcription can do with it. ```table Title: Who might use this demo Industry | Who uses it | How they use it | Example Linguistics | Researchers | Test automatic transcription on a regional language | Play a short Teochew recording through the demo Speech technology | Developers | See how a fine-tuned Whisper model handles a small language | Compare its output with a transcript you trust Language learning | Learners and heritage speakers | Check a spoken phrase against written text | Record a short phrase and read what comes back ``` If you need another language or dialect, you can skip it. 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 demo runs, on the cpu-basic hardware tier ```table Title: What the demo is good for Use case | Who | What they get back Transcribe Teochew speech | Researchers | Text produced from a spoken recording Try the sample clip | Anyone curious | The result for the bundled example.wav file Test a fine-tuned model | Developers | A quick look at how it performs on audio they choose ``` How to set it up: The hosted demo needs nothing. A local copy needs Python and pip. - Python, with pip - The Python packages that requirements.txt lists 1. Install the huggingface_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio 5.21.0. 5. Install the packages from requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download panlr/teochew_whisper --repo-type space --local-dir teochew_whisper cd teochew_whisper pip install gradio==5.21.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space online, or start your copy with the command below. Then use the controls on the page to supply a Teochew recording and read the text it returns. ```sh python app.py ``` ```table Title: The files you will meet Tool | What it does app.py | Starts the Gradio page when you run it with Python example.wav | A sample audio file you can use to try the demo requirements.txt | Lists the Python packages the app needs ``` Example: You open the Space and give it a short Teochew recording, such as the bundled example.wav. The page returns the words it heard as written text. For newcomers and experts: If you are new to this, try the sample clip first, then a short recording of your own. Short, clear audio gives the cleanest test. If you know the field, the demo wraps a community fine-tune of Whisper for a language that general speech models cover thinly. The front end is Gradio 5.21.0, and the hosted copy runs on a CPU tier. The notes give no accuracy figures or training data details. ```flow Open the Space or run app.py Supply a Teochew recording The fine-tuned Whisper model listens You read the text it returns ``` Good to know: The Space's notes are brief, so open the page to see exactly what it returns. - Hosting: the hosted copy runs on cpu-basic hardware - Notes: the README only points to Hugging Face's configuration reference - License: cc-by-4 - Cost to run: none named - Data it reaches: the audio you supply, plus the Python packages pip installs from requirements.txt - Not for: languages other than Teochew ## On Hugging Face, 13 November 2026 - Likes: 7 - Built with: gradio - License: cc-by-4.0 ## Links - Space: https://huggingface.co/spaces/panlr/teochew_whisper - Files: https://huggingface.co/spaces/panlr/teochew_whisper/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, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [panlr/teochew_whisper on Hugging Face](https://huggingface.co/spaces/panlr/teochew_whisper) ## 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 | | --- | --- | --- | --- | --- | | Teochew Whisper (this page) | 7 | gradio | cc-by-4.0 | 2025-03-21 | | [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 | | [TTS Spaces Arena](https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30) | 493 | gradio | zlib | 2026-03-10 | | [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. ## 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: 2025-03-21 - First published: 2025-03-16 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open panlr/teochew_whisper on Hugging Face](https://huggingface.co/spaces/panlr/teochew_whisper) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/73c891d0-ea15-4195-b7f7-e6e61fc18c66) - [Its page on Mindket](https://mindket.com/p/73c891d0-ea15-4195-b7f7-e6e61fc18c66)