SpeechPrompt
Prompt tuning for speech processing
An approach to leveraging pre-trained models for efficient speech processing tasks by using prompt tuning
Interspeech 2022 《SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks》Speech processing with prompting paradigm
97 stars
6 watching
8 forks
Language: Python
last commit: about 3 years agodeep-learninglarge-language-modelsnlppromptpromptingpytorchspeech-processing
Related projects:
| Repository | Description | Stars |
|---|---|---|
 thunlp/promptpapers | A curated list of papers on prompt-based tuning for pre-trained language models, providing insights and advancements in the field. | 4,112 |
 ordinand/the-art-of-asking-chatgpt-for-high-quality-answers-a-complete-guide-to-prompt-engineering-technique | A comprehensive guide to optimizing chatbot responses using prompt engineering techniques | 989 |
 timqian/openprompt.co | A platform for sharing and discovering chatbot prompts and their applications. | 1,182 |
 openai/lm-human-preferences | Training methods and tools for fine-tuning language models using human preferences | 1,240 |
 google-research/flan | A repository providing tools and datasets to fine-tune language models for specific tasks | 1,484 |
 krrishdholakia/betterprompt | An API for evaluating the quality of text prompts used in Large Language Models (LLMs) based on perplexity estimation | 43 |
 vaibkumr/prompt-optimizer | A tool to reduce the complexity of text prompts to minimize API costs and model computations. | 246 |
 rodrigo-arenas/sklearn-genetic-opt | Automated hyperparameter tuning and feature selection using evolutionary algorithms. | 316 |
 rdspring1/pytorch_gbw_lm | Trains a large-scale PyTorch language model on the 1-Billion Word dataset | 123 |
 peak1995/speech-enhancement-dsp | This repository provides MATLAB implementations of traditional speech enhancement techniques including spectral subtraction, Wiener filtering, and Kalman filtering. | 84 |
 dodohow1011/speechadvreprogram | Developing low-resource speech command recognition systems using adversarial reprogramming and transfer learning | 18 |
 intel/neural-compressor | Tools and techniques for optimizing large language models on various frameworks and hardware platforms. | 2,257 |
 ncwilson78/system-prompt-library | A comprehensive collection of customizable prompts for Generative Pre-trained Transformers (GPTs) designed specifically for educational use. | 77 |
 awni/speech | A PyTorch implementation of end-to-end speech recognition models. | 756 |
 hyperopt/hyperopt-sklearn | Automates search for optimal parameters in machine learning algorithms. | 1,594 |