chatterbox-tts-norwegian

**Name:** Norwegian Chatterbox TTS (finetuned) **Architecture:** Based on the Chatterbox text-to-speech architecture, adapted and finetuned for Norwegian language support. **Framework:** 🤗 Transformers & 🦾 TorchAudio **License:** Dual license (Free for personal and educational use) This model generates high-quality, natural-sounding Norwegian speech from input text. The model is a fine-tuned version of ResembleAI/chatterbox. It’s ideal for voice assistants, audiobooks, notifications, and accessibility applications requireing Norwegian language support. - **Primary:** Text-to-speech synthesis for Norwegian (Bokmål / Nynorsk). - - Emotional expressiveness - Norwegian dialects - **Examples:** - Virtual assistants and chatbots - E‑learning platforms - Audiobook narration - In‑car infotainment systems - **Base Model:** Pretrained Chatterbox TTS, trained on a multi‑lingual corpus. - **Fine‑Tuning Data:** - ~6000 hours of audio‑recordings and transcriptions, of varying quality, spanning many dialects in addition to Bokmål and Nynorsk. Tilgi dem ikke; de vet hva de gjør!<br>De puster på hatets og ondskapens glør!<br>De liker å drepe, de frydes ved jammer,<br>de ønsker å se vår verden i flammer!<br>De ønsker å drukne oss alle i blod!<br>Tror du det ikke? Du vet det jo! - The model does not handle longer text inputs - The model only supports Norwegian - Make the model support longer text inputs pip install chatterbox-tts from pathlib import Path import torchaudio as ta from chatterbox.tts import ChatterboxTTS from huggingface_hub import hf_hub_download REPO_ID = "akhbar/chatterbox-tts-norwegian" for fpath in ["ve.safetensors", "t3_cfg.safetensors", "s3gen.safetensors", "tokenizer.json", "conds.pt"]: local_path = hf_hub_download(repo_id=REPO_ID, filename=fpath) model = ChatterboxTTS.from_local(Path(local_path).parent, device="cuda") text = ( "Det beste er godt nok, bare man kan få det." "Dette ordtaket understreker at selv om man søker det beste, så kan det være vanskelig å oppnå, og at det man får kan være godt nok." ) wav = model.generate(text, exaggeration=1.0, cfg_weight=0.5, temperature=0.4) ta.save("test-1.wav", wav, model.sr) AUDIO_PROMPT_PATH = "<voice_to_clone.wav>" wav = model.generate(text, audio_prompt_path=AUDIO_PROMPT_PATH) ta.save("ordtak.wav", wav, model.sr) See `example_tts.py` for more examples. - [ResembleAI](https://huggingface.co/ResembleAI/chatterbox) This project is offered under a **dual‑license** model: 1. **Non‑Commercial Personal & Educational Use** - License: **NonCommercial‑Personal‑Educational 1.0.0** - Applies to: Individuals and educational institutions only - Permissions: - Run and modify the model **for your own private or classroom use** - Restrictions: - **No redistribution** of the model or derivatives - **No commercial use** (including internal business use or paid services) - See [`LICENSE.txt`](LICENSE.txt) for full terms. 2. **Commercial Use** - A separate, paid commercial license is required for any use of the model (or derivatives) in products, services, internal business processes, or any scenario involving monetary compensation or business advantage. - To license this model for commercial purposes, please contact the author. @misc{akhbar2025norwegianchatterbox, title={Chatterbox TTS Norwegian}, author={Alexander Vaagan}, year={2025}, howpublished={\url{https://huggingface.co/akhbar/norwegian-chatterbox-tts}} }