beats-conformer-bart-audio-captioner
PublicPyTorch implementation of the ICASSP-24 paper: "Improving Audio Captioning Models with Fine-grained Audio Features, Text Embedding Supervision, and LLM Mix-up Augmentation"
Discover Popular AI-MCP Services - Find Your Perfect Match Instantly
Easy MCP Client Integration - Access Powerful AI Capabilities
Master MCP Usage - From Beginner to Expert
Top MCP Service Performance Rankings - Find Your Best Choice
Publish & Promote Your MCP Services
Choose reliable LLM API proxies with our 5-dimension test
Multi-Dimensional Large Model Comparison - Find Your Perfect Match
Calculate AI Model Costs Accurately - Optimize Your Budget
Multi-Model Real-Time Evaluation & Quick Output Comparison
Free PC Hardware Test for DeepSeek & Llama
Enter Your Large Model Computing Requirements for Instant GPU, Memory & Server Configuration Recommendations
PyTorch implementation of the ICASSP-24 paper: "Improving Audio Captioning Models with Fine-grained Audio Features, Text Embedding Supervision, and LLM Mix-up Augmentation"