Smaller, clearer, better: Phonon Multilingual beats Magpie and NeuTTS Nano in French, German, and Spanish
Blog post from Gradium
Phonon is a 100-million-parameter on-device Text-To-Speech (TTS) model that excels in multilingual voice synthesis, supporting English, French, German, Spanish, and Portuguese. It demonstrates significantly lower word error rates and higher speaker similarity compared to other TTS models like NVIDIA's Magpie and NeuTTS Nano, with up to 3.5 times fewer errors in languages such as French, German, and Spanish. Designed to operate on a single CPU core with a memory footprint of around 200 MB, Phonon is optimized for efficient deployment on mobile devices, allowing for offline use in scenarios where cloud-based solutions are impractical. Its architecture, based on Continuous Audio Language Models with flow-matching for waveform generation, provides flexibility and resilience across different languages without the need for language-specific phonemizers, which contributes to its reduced error rates and enhanced performance. Phonon’s ability to clone a reference voice from a brief sample across all supported languages further distinguishes it from competitors, offering a scalable solution for privacy-sensitive and latency-critical applications.
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