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Bark is a transformer-based text-prompted generative audio model developed by Suno AI. With nearly 40,000 GitHub stars, it can generate highly realistic and multilingual speech, music, background noises, and sound effects from simple text prompts. Unlike traditional TTS systems, Bark understands context and can produce non-verbal sounds like laughs, sighs, and throat clears. It supports 13+ languages and can generate music with vocals, making it one of the most versatile open-source audio generation models available. Bark runs on consumer GPUs with as little as 4GB VRAM and offers both Python API and Docker deployment options.
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