Premade voices in Coqui TTS

premade voices for coqui tts

Yes — the open-source toolkit entity["software", "Coqui TTS", 0] (sometimes called “🐸 TTS”) provides **pre-trained voices / models** out of the box, so you don’t always need to train one from scratch. Here’s a breakdown of what “premade voices” means in this context, what’s available, and how you can use them. --- ### ✅ What counts as a “premade voice” - Coqui TTS offers **released TTS models** (text → speech) that you can download and use directly. citeturn0search15turn0search7turn0search0turn0search19turn0search11turn0search21 - Many of these are *single-speaker* or *multi-speaker* models with built-in voices (speakers) that you can pick. For example, in a multi-speaker model you might specify `--speaker_idx X`. citeturn0search15turn0search19 - There are also models capable of **voice cloning** (creating a new voice from a short audio clip) and multilingual voice generation. For example the model entity["software", "XTTS-v2", 0] supports 17 languages and voice cloning with ~6 seconds of sample audio. citeturn0search14turn0search4turn0search19 - So “premade voices” means: download model X, pick speaker index / language, feed text → get spoken audio. --- ### 🗂 What are some example models / voices available Here are some concrete ones you can use: | Model name | Language(s) | Notes | |------------|------------|-------| | `tts_models/en/ljspeech/tacotron2-DDC` | English | A standard single-speaker model for English. citeturn0search15 | | `tts_models/multilingual/multi-dataset/xtts_v2` | ~17 languages (en, es, fr, de, it, pt, pl, tr, ru, nl, cs, ar, zh-cn, ja, hu, ko, hi) citeturn0search14turn0search19 | Multi-speaker + multilingual + you can choose among many speakers (e.g., see video listing speakers). citeturn0search18turn0search14 | | `tts_models/<lang-iso>/fairseq/vits` | Many languages (~1100) via Fairseq models. citeturn0search21turn0search19 | If you have a rare language you can check here. | Also there is a **voice pack** designed for games: entity["software", "Coqui Voice Pack", 0] (from Coqui) which contains over 2,000 WAV files of >30 synthetic voices designed for game dialogue — good if you want many pre-done voices. citeturn0search25 --- ### 🛠 How to use a premade voice Here’s a minimal workflow (assuming you have Coqui TTS installed): 1. Install the library ```bash pip install coqui-tts ``` citeturn0search21 2. List available models: ```bash tts --list_models ``` citeturn0search15turn0search19 3. Pick a model name (e.g., `tts_models/en/ljspeech/glow-tts`) and optionally pick a speaker index if multi-speaker. 4. Run synthesis: ```bash tts --text "Hello world!" --model_name tts_models/en/ljspeech/glow-tts --out_path output.wav ``` citeturn0search15 5. If you use a multi-speaker model you can specify `--speaker_idx X`. The docs show you how. citeturn0search18turn0search19 6. You can also run a demo server: ```bash tts-server --model_name "<model>" ``` citeturn0search24turn0search15 --- ### ⚠️ Some caveats / things to watch - Just because a model supports many languages doesn’t mean **every voice** is equally polished in every language. Multi-language models may have varied quality. - Voice cloning still has limitations: although the XTTS model supports cloning from a short clip, the “match” to target voice may not always be perfect. (Users report mixed results) citeturn0search12turn0search4 - Licensing: Check the license of the specific model you use, especially if you’ll use generated audio commercially. - Hardware: Running these models may require a decent GPU (for speed) although CPU only is possible. - When choosing a “voice” (speaker) you may need to experiment with different speaker indices and vocoder combinations (TTS model + vocoder model) for best quality. The model combinations matter. citeturn0search28 --- If you like, I can **pull together a full list** of the current released models + their voices (speaker indices etc) for you — would that be helpful?