skit-ai/SpeechLLM
This repository contains the training, inference, evaluation code for SpeechLLM models and details about the model releases on huggingface.
This helps professionals who analyze spoken interactions to extract key details. By inputting an audio file of someone speaking, it can tell you if there's speech, provide a transcript, and identify the speaker's gender, age group, accent, and emotional state. This is useful for anyone reviewing calls, interviews, or spoken content.
130 stars. No commits in the last 6 months.
Use this if you need to quickly get a transcript and detailed demographic/emotional metadata from short audio clips of speech.
Not ideal if you require absolute accuracy for sensitive applications, as the model may produce errors and exhibits biases.
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130
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Language
Python
License
Apache-2.0
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Last pushed
Jun 25, 2024
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