AI正在发生 未来正在更新higgs-audio-v2-tokenizer
Check our open-source repository https://github.com/boson-ai/higgs-audio for more details! > [!TIP] > For **licensing** inquiries (e.g., commercial use) or **collaboration** opportunities, please reach out to us at contact@boson.ai. We introduce a new discretized audio tokenizer that runs at just **25 frames per second** while keeping—or even improving—audio quality compared to tokenizers with twice the bitrate. Our model is the first to train on **24 kHz data** covering speech, music, and sound events in one unified system. It also uses a simple non-diffusion encoder/decoder for fast, batch inference.
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Check our open-source repository https://github.com/boson-ai/higgs-audio for more details! > [!TIP] > For **licensing** inquiries (e.g., commercial use) or **collaboration** opportunities, please reach out to us at contact@boson.ai. We introduce a new discretized audio tokenizer that runs at just **25 frames per second** while keeping—or even improving—audio quality compared to tokenizers with twice the bitrate. Our model is the first to train on **24 kHz data** covering speech, music, and sound events in one unified system. It also uses a simple non-diffusion encoder/decoder for fast, batch inference.