ga642381/SpeechPrompt
**Interspeech 2022** 《SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks》Speech processing with prompting paradigm
This project helps speech processing engineers and researchers more efficiently adapt large pre-trained spoken language models for specific tasks like keyword spotting or intent classification. It takes raw speech audio and task labels as input, and outputs a fine-tuned model that can perform classification or even generate speech. This is intended for those who work with speech data and want to leverage state-of-the-art models without extensive computational resources.
101 stars. No commits in the last 6 months.
Use this if you need to adapt a large generative spoken language model for new speech classification or generation tasks with significantly fewer trainable parameters and computational cost than traditional fine-tuning.
Not ideal if you are looking for an off-the-shelf solution that doesn't require familiarity with model training pipelines or if your primary goal is to train a model from scratch without leveraging pre-trained foundations.
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Python
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Last pushed
Apr 10, 2025
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