Voice Cloning with AI: Build a TTS System in 10 Minutes

What is AI Voice Cloning?

AI voice cloning creates a synthetic copy of any voice from a short audio sample. Modern models like LuxTTS can produce natural-sounding speech from just 3 seconds of reference audio — at speeds exceeding 150x realtime. This means a 10-second audio clip generates in under 0.07 seconds on a GPU.

Why LuxTTS?

LuxTTS stands out for three reasons: quality (48kHz output vs the typical 24kHz), speed (150x realtime on GPU, faster than realtime on CPU), and efficiency (under 1GB VRAM — it fits on any GPU). It is open-source under Apache-2.0 and hosted on HuggingFace for easy access.

Setting Up Voice Cloning

Install LuxTTS with three commands: git clone https://github.com/ysharma3501/LuxTTS.git, cd LuxTTS, pip install -r requirements.txt. Then load the model: lux_tts = LuxTTS('YatharthS/LuxTTS', device='cuda'). For Mac users, use device='mps'. CPU works too with device='cpu', threads=2.

Generating Speech

Encode your reference audio (minimum 3 seconds, WAV or MP3): encoded_prompt = lux_tts.encode_prompt('reference.wav', rms=0.01). Then generate: final_wav = lux_tts.generate_speech("Your text here", encoded_prompt, num_steps=4). Save with sf.write('output.wav', final_wav.numpy().squeeze(), 48000).

Use Cases for Business

Voice cloning enables consistent brand voice across all content: video tutorials, podcast intros, customer support messages, and product demos. Instead of recording each piece of audio manually, generate it from text in milliseconds. Combined with AI agents, you can automate entire content pipelines — write the script with Claude, generate the audio with LuxTTS, and publish automatically.