Vaniq-Edge: 34MB Open-Weight TTS Engine Achieves 2.94% Word Error Rate

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A developer has released Vaniq-Edge, a lightweight, end-to-end text-to-speech engine with approximately 8.5 million parameters and a file size of just 34.3 MB. The model converts text directly to 24kHz mono audio without relying on external vocoders or secondary models. It achieves a Word Error Rate of 2.94% and a predicted audio quality score of 4.35 out of 5, while running faster than real-time on both GPU and single-core CPU. The model is available as open weights on Hugging Face and can be tested locally using Python. Key limitations include support for English only, a single fixed voice, and occasional high-frequency audio artifacts on certain consonants.

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