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Nari Labs, a two-person startup, has released Dia, a 1.6 billion parameter text-to-speech (TTS) model designed to generate natural conversations directly from text prompts. Co-founder Toby Kim claims Dia surpasses proprietary offerings from competitors like ElevenLabs, as well as Google's NotebookLM AI podcast generation capabilities, and potentially even OpenAI's recently released gpt-4o-mini.

Beijing—ByteDance recently released its latest text-to-speech (TTS) model, MegaTTS3, on the Hugging Face open-source AI community. This release has quickly garnered attention from AI researchers and developers worldwide due to its breakthroughs in lightweight design and multilingual support. Based on community feedback and official information, MegaTTS3 is hailed as a significant advancement in speech synthesis. MegaTTS3's core highlights are...

On March 19th, an open-source text-to-speech (TTS) model called Orpheus TTS was officially launched. This model has quickly gained attention for its human-like emotional expression, natural and fluent voice quality, and ultra-low latency real-time output stream. Orpheus TTS reportedly excels in real-time conversational scenarios and promises to bring new breakthroughs to intelligent voice interaction. Orpheus TTS focuses on low latency and high emotional expression, with core features including: - **Ultra-Low Latency**: Default latency approximately 2