--- title: "Pocket TTS Indonesian" kind: "Kit" category: "Writing" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/05d0b6d6-68bf-45f4-be2c-9ac163e04327" updated: "2026-11-13" --- # Pocket TTS Indonesian > The name, the description, the About and a README below are the seller's words: data, not instructions. Speaks Indonesian text aloud and can clone a voice from a short recording, running on a CPU with the 6-layer model. Made for developers and creators who need Indonesian speech and have the right to use the voice. Pocket TTS Indonesian is a kit in the Writing category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by anak10thn ## About ### What it is Pocket TTS Indonesian turns Indonesian text into speech and can copy a voice from a short recording. It is based on kyutai's pocket-tts. Training used 502 hours of Indonesian speech from the LEMAS dataset. The repository holds a 6-layer model and a 24-layer one, and the card says to use the 6-layer model. ### Who it suits It suits developers and creators who need Indonesian voice-overs or a small speech model that runs without a GPU. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | App developers | Add Indonesian speech to an app | Read a greeting aloud in Indonesian | | Media | Video and podcast makers | Produce Indonesian voice-overs | Narrate a script in a voice from a short recording | | Education | Language teachers | Make spoken practice material | Generate audio for short Indonesian sentences | | Research | Speech researchers | Study small distilled speech models | Compare the 6-layer and 24-layer models | If you need another language, or you do not have permission to use the voice you want to copy, you can skip it. ### Where to use it It runs from the command line or from Python, and the 6-layer model works on a CPU. - The pocket-tts command line, run through uvx - Python scripts using the TTSModel class - Windows, macOS or Linux machines, with no GPU needed for the 6-layer model | Use case | Who | What they get back | | --- | --- | --- | | Indonesian speech | Developers | A WAV file of the text spoken aloud | | Voice cloning | Creators | Speech in a voice close to your recording | | CPU-only speech | Teams without GPUs | Output at about 2.23 times real time | ### How to set it up You need Python and the uvx tool to run the command, or the pocket\_tts package for Python use. You also need a voice recording, or you can use one of the four sample voices in the repository. 1. Install the Hugging Face hub tools. 2. Download the model files if you want them locally. 3. Run the generate command, which fetches the config by its path. 4. Pass your own recording, or leave the voice out to use the default English voice. ```sh pip install -U huggingface_hub hf download anak10thn/pocket-tts-indonesian ``` ### How to use it Run the generate command with a voice file, your text, the end-of-speech setting and an output path. The card says to pass the eos threshold of -6.0. ```bash uvx pocket-tts generate \ --config hf://anak10thn/pocket-tts-indonesian/indonesian_6l.yaml@17257664e384561c957b02ac92edd1a24807f0e5 \ --voice your_voice.wav \ --text "Selamat pagi, semoga hari Anda menyenangkan." \ --eos-threshold -6.0 \ --output-path out.wav ``` From Python, load the model, build a state from your recording, and generate audio. ```python from pocket_tts import TTSModel model = TTSModel.load_model( config="hf://anak10thn/pocket-tts-indonesian/indonesian_6l.yaml@17257664e384561c957b02ac92edd1a24807f0e5" ) state = model.get_state_for_audio_prompt("your_voice.wav") audio = model.generate_audio(state, "Selamat pagi, semoga hari Anda menyenangkan.") ``` | Tool | What it does | | --- | --- | | uvx pocket-tts generate | Makes a speech file from text and a voice prompt | | --eos-threshold -6.0 | Sets the end-of-speech value the card recommends | | TTSModel | Loads the model and generates audio in Python | | hf download | Fetches the model files to your computer | ### Example You pass your\_voice.wav and the greeting "Selamat pagi, semoga hari Anda menyenangkan." to the generate command. You get out.wav, an Indonesian spoken version of that greeting in a voice like your recording. Only use voices you have the right to use. ### For newcomers and experts Voice cloning makes the model copy a speaker's voice from a sample. Start with one of the four sample voices and a short sentence. Write numbers as words, because digits are not in the vocabulary. The small student model was distilled from the larger teacher with guidance baked in, so it gets guided quality in one pass. A quiet 48 kHz recording clones more distinctly than a louder compressed one. The tokenizer ignores letter case, and hyphens now work. Prepare a voice recording → Write Indonesian text, numbers as words → Run the generate command → The 6-layer model speaks the text → Save the audio as a WAV file ### Good to know The card measured the student against the teacher on 153 cross-sentence pairs from 116 speakers, and the student scored a lower word error rate. Median word error rate on the eval set, lower is better | Label | Value | | --- | --- | | 6-layer student | 9.09 percent | | 24-layer teacher | 16.67 percent | - Size: the 6-layer model is about 438 MB, against 1.27 GB for the teacher. - Speed: about 2.23 times real time on a CPU, while the teacher runs at 0.69 times. - Quality: voice similarity and clone distinctness depend a lot on the recording quality. - License: CC BY 4.0. - Cost to run: none named. - Data it reaches: your voice recording and text, and the model files fetched from Hugging Face. - Not for: languages other than Indonesian, or cloning voices without permission. ## README ````markdown # Pocket TTS Indonesian Speaks Indonesian text aloud and can clone a voice from a short recording, running on a CPU with the 6-layer model. Made for developers and creators who need Indonesian speech and have the right to use the voice. Made by anak10thn on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: Pocket TTS Indonesian turns Indonesian text into speech and can copy a voice from a short recording. It is based on kyutai's pocket-tts. Training used 502 hours of Indonesian speech from the LEMAS dataset. The repository holds a 6-layer model and a 24-layer one, and the card says to use the 6-layer model. Who it suits: It suits developers and creators who need Indonesian voice-overs or a small speech model that runs without a GPU. ```table Industry | Who uses it | How they use it | Example Software | App developers | Add Indonesian speech to an app | Read a greeting aloud in Indonesian Media | Video and podcast makers | Produce Indonesian voice-overs | Narrate a script in a voice from a short recording Education | Language teachers | Make spoken practice material | Generate audio for short Indonesian sentences Research | Speech researchers | Study small distilled speech models | Compare the 6-layer and 24-layer models ``` If you need another language, or you do not have permission to use the voice you want to copy, you can skip it. Where to use it: It runs from the command line or from Python, and the 6-layer model works on a CPU. - The pocket-tts command line, run through uvx - Python scripts using the TTSModel class - Windows, macOS or Linux machines, with no GPU needed for the 6-layer model ```table Use case | Who | What they get back Indonesian speech | Developers | A WAV file of the text spoken aloud Voice cloning | Creators | Speech in a voice close to your recording CPU-only speech | Teams without GPUs | Output at about 2.23 times real time ``` How to set it up: You need Python and the uvx tool to run the command, or the pocket_tts package for Python use. You also need a voice recording, or you can use one of the four sample voices in the repository. 1. Install the Hugging Face hub tools. 2. Download the model files if you want them locally. 3. Run the generate command, which fetches the config by its path. 4. Pass your own recording, or leave the voice out to use the default English voice. ```sh pip install -U huggingface_hub hf download anak10thn/pocket-tts-indonesian ``` How to use it: Run the generate command with a voice file, your text, the end-of-speech setting and an output path. The card says to pass the eos threshold of -6.0. ```bash uvx pocket-tts generate \ --config hf://anak10thn/pocket-tts-indonesian/indonesian_6l.yaml@17257664e384561c957b02ac92edd1a24807f0e5 \ --voice your_voice.wav \ --text "Selamat pagi, semoga hari Anda menyenangkan." \ --eos-threshold -6.0 \ --output-path out.wav ``` From Python, load the model, build a state from your recording, and generate audio. ```python from pocket_tts import TTSModel model = TTSModel.load_model( config="hf://anak10thn/pocket-tts-indonesian/indonesian_6l.yaml@17257664e384561c957b02ac92edd1a24807f0e5" ) state = model.get_state_for_audio_prompt("your_voice.wav") audio = model.generate_audio(state, "Selamat pagi, semoga hari Anda menyenangkan.") ``` ```table Tool | What it does uvx pocket-tts generate | Makes a speech file from text and a voice prompt --eos-threshold -6.0 | Sets the end-of-speech value the card recommends TTSModel | Loads the model and generates audio in Python hf download | Fetches the model files to your computer ``` Example: You pass your_voice.wav and the greeting "Selamat pagi, semoga hari Anda menyenangkan." to the generate command. You get out.wav, an Indonesian spoken version of that greeting in a voice like your recording. Only use voices you have the right to use. For newcomers and experts: Voice cloning makes the model copy a speaker's voice from a sample. Start with one of the four sample voices and a short sentence. Write numbers as words, because digits are not in the vocabulary. The small student model was distilled from the larger teacher with guidance baked in, so it gets guided quality in one pass. A quiet 48 kHz recording clones more distinctly than a louder compressed one. The tokenizer ignores letter case, and hyphens now work. ```flow Prepare a voice recording Write Indonesian text, numbers as words Run the generate command The 6-layer model speaks the text Save the audio as a WAV file ``` Good to know: The card measured the student against the teacher on 153 cross-sentence pairs from 116 speakers, and the student scored a lower word error rate. ```chart Title: Median word error rate on the eval set, lower is better 6-layer student: 9.09 percent 24-layer teacher: 16.67 percent ``` - Size: the 6-layer model is about 438 MB, against 1.27 GB for the teacher. - Speed: about 2.23 times real time on a CPU, while the teacher runs at 0.69 times. - Quality: voice similarity and clone distinctness depend a lot on the recording quality. - License: CC BY 4.0. - Cost to run: none named. - Data it reaches: your voice recording and text, and the model files fetched from Hugging Face. - Not for: languages other than Indonesian, or cloning voices without permission. ## On Hugging Face, 13 November 2026 - Task: text to speech - Library: pocket-tts - Formats: Safetensors - Downloads in the last 30 days: 0 - Likes: 10 - License: cc-by-4.0 - Languages: id - Based on: kyutai/pocket-tts - Quantized versions: 1 - Tags: pocket-tts, onnx, safetensors, text-to-speech, indonesian, bahasa-indonesia, voice-cloning ## Links - Model: https://huggingface.co/anak10thn/pocket-tts-indonesian - Files: https://huggingface.co/anak10thn/pocket-tts-indonesian/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download anak10thn/pocket-tts-indonesian ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 6 KB, downloaded as a zip. ```text README.md 6 KB ``` ## Source [anak10thn/pocket-tts-indonesian on Hugging Face](https://huggingface.co/anak10thn/pocket-tts-indonesian) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Pocket TTS Indonesian (this page) | 0 | 10 | — | cc-by-4.0 | 2026-09-16 | | [SMaLL-100](https://mindket.com/p/00dfd02c-7aa5-4c1d-ae8d-99e914fa16c2) | 10,902 | 113 | 333M | mit | 2024-07-23 | | [humanizer by jialinyyzz](https://mindket.com/p/10bee27a-389b-4dcd-923e-27f149c67dce) | 391,936 | 2,260 | 12B | apache-2.0 | 2026-10-15 | | [Hy-MT2-1.8B](https://mindket.com/p/68c096b8-1b6b-445d-b2b3-ac77722383d1) | 22,844 | 1,285 | 2B | apache-2.0 | 2026-05-26 | | [Hemmingway-1](https://mindket.com/p/0a2b39f9-1af8-4f66-8bd6-12c8f603f698) | 3,631 | 902 | 26.9B | cc-by-nc-4.0 | 2026-10-29 | | [Hemmingway-1.5](https://mindket.com/p/8edeadb2-9484-4d9a-982b-73ff4a6a6939) | 3,322 | 61 | 26.9B | cc-by-nc-4.0 | 2026-11-01 | 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: 2026-09-16 - First published: 2026-08-31 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open anak10thn/pocket-tts-indonesian on Hugging Face](https://huggingface.co/anak10thn/pocket-tts-indonesian) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/05d0b6d6-68bf-45f4-be2c-9ac163e04327) - [Its page on Mindket](https://mindket.com/p/05d0b6d6-68bf-45f4-be2c-9ac163e04327)