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CPU TTS benchmark: Pocket TTS shows flat RTF, UTMOS struggles with naturalness

By PulseAugur Editorial · [1 sources] ·

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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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

CPU TTS benchmark: Pocket TTS shows flat RTF, UTMOS struggles with naturalness

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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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  1. r/MachineLearning TIER_1 English(EN) · /u/gvij ·

    CPU TTS benchmark with UTMOS MOS scoring: Kokoro, Supertonic, Inflect-Nano, and Kyutai's new Pocket TTS [P]

    <!-- SC_OFF --><div class="md"><p>Sharing a CPU TTS benchmark with objective MOS scores in case it's useful for anyone evaluating small TTS models. Adding this because Kyutai's Pocket TTS is architecturally different from the others in the field and I hadn't seen a head-to-head w…

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