license: cc-by-4.0
language:
- tr
pipeline_tag: text-to-speech
library_name: pocket-tts
datasets:
- serdarcaglar/turkish-tts-audiobooks
base_model:
- kyutai/pocket-tts
tags:
- pocket-tts
- tts
- turkish
- turkish-tts
- speech
- voice-cloning
Pocket TTS Turkish — v0.1 Base
Turkish 24-layer Pocket TTS teacher model based on Kyutai Pocket TTS.
This is the v0.1 base release, focused on high-quality Turkish speech synthesis. It is intended both for direct Turkish TTS inference and as a base checkpoint for further fine-tuning and depth distillation.
Model
- Architecture: Pocket TTS
- Language: Turkish
- Transformer depth: 24 layers
- Tokenizer: Turkish SentencePiece BPE
- Vocabulary size: 4,000
- Audio sample rate: 24 kHz
- Training checkpoint selected: 112,000 steps
- Generation temperature: 0.3
Training data
The model was trained primarily on:
serdarcaglar/turkish-tts-audiobooks
A leakage-controlled training/dev/test split and additional preprocessing, normalization, alignment validation and filtering were applied before training.
Usage
With Pocket TTS:
uvx pocket-tts generate \
--config "hf://kaanhgunay/pocket-tts-tr/config.yaml@v0.1-base" \
--voice "./voice.wav" \
--text "Merhaba, bugün güzel bir gün." \
--output-path output.wav
Replace HF_USERNAME with the repository owner's Hugging Face username.
Strengths
The model performs well on standard Turkish text, including:
- fluent Turkish sentences
- long-form sentences
- Turkish morphology and long agglutinative words
- numbers and dates when appropriately normalized
- punctuation and natural pauses
- voice-conditioned speech generation
Known limitations
Foreign-language words
This release is primarily trained for Turkish.
English and other foreign-language words may be pronounced according to Turkish orthographic and phonetic patterns. Code-switching is not considered a supported capability in v0.1.
A future release is planned to improve Turkish-English code-switching while preserving Turkish quality.
Beginning-of-generation artifact
A short transient or pronunciation artifact may occasionally be audible around the first syllable at the beginning of generated speech.
This behavior is being investigated separately from the acoustic/language quality of the model.
Versioning
- v0.1-base — Turkish 24L base teacher, 112k steps
- Future releases may add code-switch improvements and distilled variants.
Attribution
This model is derived from Kyutai Pocket TTS.
Training data attribution:
Serdar I. Çağlar, Turkish TTS Audiobooks: a 2,724-hour Turkish read-speech corpus for text-to-speech, Hugging Face, 2026.
License
Model weights are released under CC BY 4.0.
Users are responsible for ensuring that voice cloning and generated speech are used lawfully and with appropriate consent.