Nov 21, 2023 · This paper presents AudioLog, a large language models (LLMs)-powered audio logging system with hybrid token-semantic contrastive learning.

This paper presents AudioLog, a large language models (LLMs)-powered audio logging system with hybrid token-semantic contrastive learning.

Step 1: create a conda environment following HTS-AT Step 2: clone this repository, may use git lfs. Step 3: set paths and parameters in config.py

Nov 21, 2023 · This paper proposes to fine-tune the pre-trained hierarchical token-semantic audio Transformer by incorporating contrastive learning between ...

Oct 3, 2024 · The access protocol is a hybrid which combines random access and virtual token features. More precisely, the network operates in random access ...

AudioLog AudioLog Public. codes for AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning. Python 2 · ICME2024ASC ...

合著作者 ; Audiolog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning. J Bai, H Yin, M Wang, D Shi, WS Gan, J Chen, S Rahardja.

This paper presents AudioLog, a large language models (LLMs)-powered audio logging system with hybrid token-semantic contrastive learning. 2. 21 Nov 2023.

This paper presents AudioLog, a large language models (LLMs)-powered audio logging system with hybrid token-semantic contrastive learning. Acoustic Scene ...

Audiolog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning · Jisheng BaiHan Yin +4 authors. S. Rahardja. Computer Science. 2024 ...