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Showing 2 open source projects for "mimi"
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Moshi
A speech-text foundation model for real time dialogue
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec. Mimi processes 24 kHz audio, down to a 12.5 Hz representation with a bandwidth of 1.1 kbps, in a fully streaming manner (latency of 80ms, the frame size), yet performs better than existing, non-streaming, codecs like SpeechTokenizer (50 Hz, 4kbps), or SemantiCodec (50 Hz, 1.3kbps). -
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Mimic is a visual web-based monitoring aggregation system aimed at sysadmins managing medium to large server farms which reduces status of hosts to a small icon representing each host. It could also be thought of as a monitoring system monitoring system. This project was moved to GitHub in May 2015 and active development no longer happens here.
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