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Gepard 1.0 open-sourced for real-time streaming TTS

A new open-source text-to-speech (TTS) model named Gepard 1.0 has been released, designed for real-time conversational dialogue. Built with a focus on streaming, it begins generating audio as text arrives, achieving a time-to-first-audio of approximately 50ms. The model utilizes a Qwen3.5 0.8B backbone and Nemo NanoCodec, offering zero-shot voice cloning and supporting multiple languages including English, Spanish, Portuguese, and Dutch. While it excels in perceived quality and real-time performance, it has a trade-off in speaker similarity and word error rate compared to non-streaming models. AI

IMPACT Enables more natural and responsive voice interactions in real-time applications.

RANK_REASON Open-source release of a new model with performance benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

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

Gepard 1.0 open-sourced for real-time streaming TTS

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/ylankgz ·

    Gepard : 0.6B streaming TTS built for real-time dialogue - 20× realtime factor, ~50ms time-to-first-audio, vLLM-native, Apache 2.0

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1uq10cw/gepard_06b_streaming_tts_built_for_realtime/"> <img alt="Gepard : 0.6B streaming TTS built for real-time dialogue - 20× realtime factor, ~50ms time-to-first-audio, vLLM-native, Apache 2.0" src="https:/…