Phonon update: 1.00% WER on Seed-TTS, smaller than every model we beat
Blog post from Gradium
Phonon, a 100M-parameter on-device Text-To-Speech (TTS) model, has achieved a significant milestone by reaching a 1.00% word error rate (WER) on the Seed-TTS English benchmark, outperforming larger models like NeuTTS Air (552M), KaniTTS2 (450M), and NeuTTS Nano (229M). With voice cloning disabled and a fixed high-quality voice, Phonon further reduces its WER to 0.83%, surpassing models such as Kokoro and Magpie. The model is based on Continuous Audio Language Models with flow-matching for waveform generation and supports deployment scenarios unsuitable for cloud APIs, including offline and privacy-sensitive applications. Updates since April have seen improvements in WER, speaker similarity, and the removal of input length padding, alongside support for int8 quantization, enhancing inference speed without compromising audio quality. Phonon is in private beta, offering a robust edge-based solution for TTS tasks.
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