MooreThreads/MooER
MooER: Moore-threads Open Omni model for speech-to-speech intERaction. MooER-omni includes a series of end-to-end speech interaction models along with training and inference code, covering but not limited to end-to-end speech interaction, end-to-end speech translation and speech recognition.
MooER helps you process spoken language by transforming speech into text or translating it directly into another language. This allows you to understand or communicate across language barriers using only spoken input and output. It's designed for developers building speech interaction applications, particularly those focused on multilingual communication and intelligent assistants.
218 stars. No commits in the last 6 months.
Use this if you need to build applications that can accurately convert spoken words into text (speech recognition) or translate spoken language from one language to another (speech-to-speech translation), especially with Mandarin Chinese support.
Not ideal if your primary need is for purely text-based translation or if you require advanced natural language processing beyond speech interaction, such as complex sentiment analysis or summarization from text.
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Python
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Last pushed
Jan 08, 2025
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