Amebo Premium Voice - Hausa TTS

🎙️ Natural Nigerian Hausa Text-to-Speech

Amebo Premium Voice is a high-quality Hausa TTS model built on Meta's MMS-TTS, enhanced with warmth processing for natural, clear speech synthesis.

Features

✅ Native Hausa pronunciation - Correct sounds for ɓ, ɗ, ƙ, etc.
✅ Fast inference - ~100ms latency after warmup
✅ Lightweight - 36MB model
✅ Warmth processing - Natural, warm voice quality
✅ Production ready - Perfect for call centers & voice apps

Usage

Python API

from transformers import VitsModel, AutoTokenizer
import torch

# Load model
model = VitsModel.from_pretrained("facebook/mms-tts-hau")
tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-hau")

# Generate speech
text = "Sannu da zuwa. Ina kwana?"
inputs = tokenizer(text, return_tensors="pt")

with torch.no_grad():
    output = model(**inputs).waveform

# Save audio
import soundfile as sf
sf.write("output.wav", output.squeeze().numpy(), 16000)

Inference API

import requests

API_URL = "https://api-inference.huggingface.co/models/YOUR_USERNAME/amebo-premium-voice"
headers = {"Authorization": "Bearer YOUR_HF_TOKEN"}

response = requests.post(API_URL, headers=headers, json={
    "inputs": "Sannu da zuwa cikin aikin mu.",
    "parameters": {
        "warmth": 0.3,
        "presence": 0.2
    }
})

Parameters

Parameter	Default	Range	Description
warmth	0.3	0.0-1.0	Voice warmth (low-mid boost)
presence	0.2	0.0-1.0	Voice clarity (high-mid boost)

Performance

Metric	Value
Model Size	36 MB
Sample Rate	16 kHz
Latency (GPU)	~100ms
Latency (CPU)	~500ms

Supported Text

Standard Hausa text
Special characters: ɓ, ɗ, ƙ, ƴ
Numbers and punctuation

License

Apache 2.0 (based on Meta MMS-TTS)

Credits

Base model: Meta MMS-TTS
Warmth processing: Amebo AI
Training data: NaijaVoices dataset

Made with ❤️ for Nigerian Hausa speakers

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