--- title: "Confucius4-TTS Voice Clone" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/02dc4c44-03ba-4e72-87e1-bb59c5b88dd6" updated: "2026-11-12" --- # Confucius4-TTS Voice Clone > The name, the description, the About and a README below are the seller's words: data, not instructions. Clones a voice from a short reference clip and speaks your text in it, with automatic language detection and optional transcription of the clip. It suits people testing text-to-speech and voice cloning. Confucius4-TTS Voice Clone is a kit in the Productivity 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 CharlesW ## About ### What it is This Space lets you clone a voice with Confucius4-TTS, using a page split into two columns. You enter the text to speak and give a reference voice, and it generates speech in that voice. The interface is in English, and the language of your text is detected automatically. It runs on zero-a10g hardware at Hugging Face. ### Who it suits It suits people who want to test voice cloning from a short clip, and developers who want to see how reference transcription and language routing are handled. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Content creation | Video and podcast makers | Voice a script in a chosen reference voice | Read a short line in the voice of a clean sample | | AI research | Speech researchers | Compare audio-only and transcript-guided cloning | Run the same clip with and without a transcript | | Software | Developers | Study a Gradio TTS app with automatic recognition | Read app.py and the routing files | You can skip it if you need a production service, since the README calls the transcript path experimental. ### Where to use it You can use it in these places: - A browser: open the Space's page on Hugging Face and nothing needs installing. - Windows, macOS or Linux: run your own copy with Python 3.10 and a GPU. | Use case | Who | What they get back | | --- | --- | --- | | Voice cloning | Creators | Speech in your text spoken in the reference voice | | Cross-language use | Researchers | Speech from a reference in one language and text in another | | Transcript-guided cloning | Developers | Generation that uses the clip together with its transcript | ### How to set it up You need these first for a local copy: - Python 3.10 and pip - The system packages listed in packages.txt, which Hugging Face installs with apt-get - A GPU, since the model and a semantic codec use GPU memory The online page needs none of this. For your own copy, follow the steps below. 1. Install the Hugging Face tools. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then the other packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download CharlesW/Confucius4-TTS --repo-type space --local-dir Confucius4-TTS cd Confucius4-TTS pip install gradio==5.50.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space in a browser, or start your own copy with the command above. Type the text to speak, then upload or record a reference voice. Clear speech of 3 to 10 seconds is recommended, and the final clip must be 1 to 15 seconds. Click Generate when the transcript step is done. The transcript is optional. | Tool | What it does | | --- | --- | | Target text | Takes the text to speak and detects its language, which you can override | | Reference audio | Takes an uploaded or recorded voice and starts transcription on its own | | Reference transcript | Optional text of the clip that you can correct or clear | | Scissors tool | Lets you pick a segment by hand from a long upload | | Audio Only | Ignores the transcript and uses the audio alone | | Generate | Creates the speech | ### Example You type a sentence, then record a few seconds of clear speech as the reference. The app transcribes it, you correct any slip, and you click Generate. It returns your sentence spoken in the reference voice. ### For newcomers and experts If you are new to this, try Audio Only first with a short, clear clip. Add the transcript later if you want to see the difference. If you know the field, ordinary speech generation goes through the generate call of the published ConfuciusTTS package. The transcript path adds a semantic codec from MaskGCT and acoustic continuation, and the README calls it experimental with no confirmed quality on every recording. Transcription uses Whisper large-v3-turbo on CPU, and clips over 30 seconds get timestamp-aware transcription. You enter the text to speak → You add a reference voice → Whisper transcribes the clip → The model clones the voice → You get the audio ### Good to know Recognition weights download on the first audio upload, and a recognition failure does not stop audio-only generation. Chinese transcripts appear in simplified characters, and you may still need to fix mistakes. - License: apache-2 on the Space page, though the model repository is CC-BY-NC-4.0 and the Space's own license does not change that - Cost to run: none named - Data it reaches: the reference audio you upload or record, and model files downloaded from Hugging Face - Not for: uses outside the CC-BY-NC-4.0 terms of the model ## README ````markdown # Confucius4-TTS Voice Clone Clones a voice from a short reference clip and speaks your text in it, with automatic language detection and optional transcription of the clip. It suits people testing text-to-speech and voice cloning. Made by CharlesW 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: This Space lets you clone a voice with Confucius4-TTS, using a page split into two columns. You enter the text to speak and give a reference voice, and it generates speech in that voice. The interface is in English, and the language of your text is detected automatically. It runs on zero-a10g hardware at Hugging Face. Who it suits: It suits people who want to test voice cloning from a short clip, and developers who want to see how reference transcription and language routing are handled. ```table Industry | Who uses it | How they use it | Example Content creation | Video and podcast makers | Voice a script in a chosen reference voice | Read a short line in the voice of a clean sample AI research | Speech researchers | Compare audio-only and transcript-guided cloning | Run the same clip with and without a transcript Software | Developers | Study a Gradio TTS app with automatic recognition | Read app.py and the routing files ``` You can skip it if you need a production service, since the README calls the transcript path experimental. Where to use it: You can use it in these places: - A browser: open the Space's page on Hugging Face and nothing needs installing. - Windows, macOS or Linux: run your own copy with Python 3.10 and a GPU. ```table Use case | Who | What they get back Voice cloning | Creators | Speech in your text spoken in the reference voice Cross-language use | Researchers | Speech from a reference in one language and text in another Transcript-guided cloning | Developers | Generation that uses the clip together with its transcript ``` How to set it up: You need these first for a local copy: - Python 3.10 and pip - The system packages listed in packages.txt, which Hugging Face installs with apt-get - A GPU, since the model and a semantic codec use GPU memory The online page needs none of this. For your own copy, follow the steps below. 1. Install the Hugging Face tools. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then the other packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download CharlesW/Confucius4-TTS --repo-type space --local-dir Confucius4-TTS cd Confucius4-TTS pip install gradio==5.50.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space in a browser, or start your own copy with the command above. Type the text to speak, then upload or record a reference voice. Clear speech of 3 to 10 seconds is recommended, and the final clip must be 1 to 15 seconds. Click Generate when the transcript step is done. The transcript is optional. ```table Tool | What it does Target text | Takes the text to speak and detects its language, which you can override Reference audio | Takes an uploaded or recorded voice and starts transcription on its own Reference transcript | Optional text of the clip that you can correct or clear Scissors tool | Lets you pick a segment by hand from a long upload Audio Only | Ignores the transcript and uses the audio alone Generate | Creates the speech ``` Example: You type a sentence, then record a few seconds of clear speech as the reference. The app transcribes it, you correct any slip, and you click Generate. It returns your sentence spoken in the reference voice. For newcomers and experts: If you are new to this, try Audio Only first with a short, clear clip. Add the transcript later if you want to see the difference. If you know the field, ordinary speech generation goes through the generate call of the published ConfuciusTTS package. The transcript path adds a semantic codec from MaskGCT and acoustic continuation, and the README calls it experimental with no confirmed quality on every recording. Transcription uses Whisper large-v3-turbo on CPU, and clips over 30 seconds get timestamp-aware transcription. ```flow You enter the text to speak You add a reference voice Whisper transcribes the clip The model clones the voice You get the audio ``` Good to know: Recognition weights download on the first audio upload, and a recognition failure does not stop audio-only generation. Chinese transcripts appear in simplified characters, and you may still need to fix mistakes. - License: apache-2 on the Space page, though the model repository is CC-BY-NC-4.0 and the Space's own license does not change that - Cost to run: none named - Data it reaches: the reference audio you upload or record, and model files downloaded from Hugging Face - Not for: uses outside the CC-BY-NC-4.0 terms of the model ## On Hugging Face, 13 November 2026 - Likes: 10 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/CharlesW/Confucius4-TTS - Files: https://huggingface.co/spaces/CharlesW/Confucius4-TTS/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 [CharlesW/Confucius4-TTS on Hugging Face](https://huggingface.co/spaces/CharlesW/Confucius4-TTS) ## 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 | | --- | --- | --- | --- | --- | | Confucius4-TTS Voice Clone (this page) | 10 | gradio | apache-2.0 | 2026-10-23 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | Numbers as Mindket last read them, on 2026-11-12. ## 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: 2026-10-23 - First published: 2026-10-22 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open CharlesW/Confucius4-TTS on Hugging Face](https://huggingface.co/spaces/CharlesW/Confucius4-TTS) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/02dc4c44-03ba-4e72-87e1-bb59c5b88dd6) - [Its page on Mindket](https://mindket.com/p/02dc4c44-03ba-4e72-87e1-bb59c5b88dd6)