A benchmark comparing four CPU-based text-to-speech (TTS) models—Kokoro, Supertonic, Inflect-Nano, and Pocket TTS—reveals distinct performance characteristics. Pocket TTS, utilizing a streaming language model architecture, demonstrates a consistent real-time factor (RTF) regardless of input length, making it predictable for interactive systems. However, the UTMOS scoring metric showed limitations, failing to differentiate between clean but robotic outputs and genuinely natural-sounding speech, particularly for smaller vocoders like Inflect-Nano. AI
IMPACT Highlights limitations in current TTS evaluation metrics and showcases architectural differences impacting real-time performance.
RANK_REASON The item details a benchmark comparing multiple TTS models, including performance metrics and findings on evaluation metrics. [lever_c_demoted from research: ic=1 ai=1.0]
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