Search Results for author:
Found 5 papers, 2 papers with code
Acoustic Prompt Tuning: Empowering Large Language Models with Audition Capabilities
Moreover, we improve the framework of audio language model by using interleaved audio-text embeddings as the input sequence.
WavJourney: Compositional Audio Creation with Large Language Models
Subjective evaluations demonstrate the potential of WavJourney in crafting engaging storytelling audio content from text.
Adapting Language-Audio Models as Few-Shot Audio Learners
We presented the Treff adapter, a training-efficient adapter for CLAP, to boost zero-shot classification performance by making use of a small set of labelled data.
Leveraging Pre-trained AudioLDM for Text to Sound Generation: A Benchmark Study
Deep neural networks have recently achieved breakthroughs in sound generation with text prompts.
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture
Aiming at channel compression, a novel convolutional construction named compact convolution is proposed to embrace the progress in spatial convolution, channel grouping and pooling operation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
