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---
license: apache-2.0
language:
- ig
- yo
- ha
- pcm
tags:
- text-to-speech
- tts
- african-languages
- voice-cloning
- spark-tts
datasets:
- chukypedro/african_voice
---
# Spark-TTS African Voice
Text-to-speech model for African languages, fine-tuned using the
[Spark-TTS](https://github.com/SparkAudio/Spark-TTS) / [SparkVox](https://github.com/SparkAudio/SparkVox) framework.
## Languages Supported
- **Igbo** (ig)
- **Yoruba** (yo)
- **Hausa** (ha)
- **Nigerian Pidgin** (pcm)
## Features
- **Text-to-Speech (TTS)**: Generate natural speech from text
- **Voice Cloning**: Clone any voice from a short reference audio
- **Controllable TTS**: Control pitch, speed, and gender
## Model Structure
This model follows the official Spark-TTS HuggingFace format:
```
β”œβ”€β”€ config.yaml
β”œβ”€β”€ BiCodec/
β”‚ β”œβ”€β”€ config.yaml
β”‚ └── model.safetensors
β”œβ”€β”€ LLM/
β”‚ β”œβ”€β”€ config.json
β”‚ β”œβ”€β”€ model.safetensors
β”‚ └── (tokenizer files)
└── wav2vec2-large-xlsr-53/
β”œβ”€β”€ config.json
β”œβ”€β”€ preprocessor_config.json
└── pytorch_model.bin
```
## Usage with Spark-TTS Inference
```python
# 1. Clone the official Spark-TTS inference repo
# git clone https://github.com/SparkAudio/Spark-TTS.git
# cd Spark-TTS
# 2. Download this model
# from huggingface_hub import snapshot_download
# snapshot_download("NaijaLingo/Spark-TTS-African", local_dir="pretrained_models/Spark-TTS-African")
# 3. Run inference
from cli.SparkTTS import SparkTTS
model = SparkTTS(model_dir="pretrained_models/Spark-TTS-African", device="cuda:0")
# Voice cloning
wav = model.inference(
text="How you dey, hope say you dey fine?",
prompt_speech_path="path/to/reference.wav",
prompt_text="Optional transcript of reference audio",
)
# Controllable TTS (no reference audio needed)
wav = model.inference(
text="Sannu da zuwa, yaya kake?",
gender="female",
pitch="moderate",
speed="moderate",
)
```
## Training Details
| Component | Details |
|-----------|---------|
| **Base LLM** | Qwen2.5-0.5B-Instruct |
| **Audio Tokenizer** | BiCodec (fine-tuned on African voice data) |
| **Feature Extractor** | wav2vec2-large-xlsr-53 |
| **Dataset** | [chukypedro/african_voice](https://huggingface.co/datasets/chukypedro/african_voice) |
| **Training Framework** | [SparkVox](https://github.com/SparkAudio/SparkVox) |
## License
Apache 2.0