🇬🇭 Akoma Akan (Asante Twi) TTS V2 — Speaker 17 Master Voice
Production-grade Text-to-Speech system for Asante Twi (Akan), trained on the 15,560-sample multi-speaker speech corpus (ghanaopendata/twi-speech-text-multispeaker-16k) and specialized on the native female voice of Speaker 17 (Age 21).
🚀 Key Features
- Multi-Speaker Pronunciation Pretrained: Trained across 15,560 native Twi sentences to eliminate foreign accents and syllable miscuing.
- Twi Text Normalizer Integrated: Built-in support for Twi numbers, currency (GH₵), dates, and phonetic diacritics (ɛ, ɔ).
- Speaker 17 Master Voice: Warm, melodic, 21-year-old native female voice profile.
- High-Fidelity Diffusion: Powered by Continuous Flow Matching (CFM) DiT with Neural ZipEnhancer.
💻 Quick Python Usage
`python
from voxcpm import VoxCPM
from huggingface_hub import snapshot_download
import soundfile as sf
1. Load Base & Speaker 17 V2 Model
base_dir = snapshot_download('ghananlpcommunity/ghana-tts-36k')
spk17_dir = snapshot_download('techolise/akan-twi-speaker17-tts-v2')
model = VoxCPM(base_dir, enable_denoiser=True)
anchor_wav = f'{spk17_dir}/speaker_17_dataset/speaker17_golden_anchor.wav'
anchor_txt = 'Atoyerɛnkyɛm asi wɔ bea a wɔgu fangoo ɛgu ɛhyɛn mu.'
2. Synthesize ANY Twi sentence
text = 'Mema mo akye me nuanom nyinaa! Wo ho te sɛn? Akwaaba ba Ghana!'
wav = model.generate(
text=text,
prompt_wav_path=anchor_wav,
prompt_text=anchor_txt,
cfg_value=2.4,
inference_timesteps=26
)
sf.write('twi_output.wav', wav, 16000)
`
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