IRIT-UPS DCASE 2021 AUDIO CAPTIONING SYSTEM
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Updated
Jul 5, 2021 - Python
IRIT-UPS DCASE 2021 AUDIO CAPTIONING SYSTEM
This reporsitory code form Weakly Supervised Automaed Audio Captioning via Text Only Training
Uni-modal training for multimdoal tasks
DCASE2024 Challenge Task 6 baseline system (Automated Audio Captioning)
Code for using with the Clotho dataset
6-th task solution of DCASE2020
PyTorch dataloader for Clotho dataset.
Code for ICASSP 2024 Paper: RECAP: Retrieval-Augmented Audio Captioning
Workshop on Detection and Classification of Acoustic Scenes and Events
CoNeTTE: An efficient Audio Captioning system leveraging multiple datasets with Task Embedding
[NeurIPS 2023 - ML for Audio Workshop (Oral)] Zero-shot audio captioning with audio-language model guidance and audio context keywords
Tools for the evaluation of audio captioning.
Fluency ENhanced Sentence-bert Evaluation (FENSE), metric for audio caption evaluation. And Benchmark dataset AudioCaps-Eval, Clotho-Eval.
2nd place solution for 2020 DCASE challenge task 6 audio captioning. http:https://dcase.community/challenge2020/task-automatic-audio-captioning-results#wuyusong2020_t6
Official Implementation of "Prefix tuning for Automated Audio Captioning(ICASSP 2023)"
PyTorch implementation of the ICASSP-24 paper: "Improving Audio Captioning Models with Fine-grained Audio Features, Text Embedding Supervision, and LLM Mix-up Augmentation"
Tracking states of the arts and recent results (bibliography) on sound tasks.
Metrics for evaluating Automated Audio Captioning systems, designed for PyTorch.
Audio captioning baseline system for DCASE 2020 challenge.
Code base for WaveTransformer: A novel architecture for automated audio captioning
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