20 citations · 76 across the 19 of their papers we have counts for
5 papers · 1 filter
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention
Xubo Liu, Qiushi Huang, Xinhao Mei +10
Audio captioning aims to generate text descriptions of audio clips. In the real world, many objects produce similar sounds. How to accurately recognize ambiguous sounds is a major…
Exploring the Effects of Channel Sparsity on Neural Network Pruning for Acoustic Scene Classification
Yiqiang Cai, Shengchen Li
Acoustic Scene Classification (ASC) algorithms are usually expected to be deployed in resource-constrained systems. Existing works reduce the complexity of ASC algorithms by prunin…
Extract fundamental frequency based on CNN combined with PYIN
Ruowei Xing, Shengchen Li
This paper refers to the extraction of multiple fundamental frequencies (multiple F0) based on PYIN, an algorithm for extracting the fundamental frequency (F0) of monophonic music,…
An investigation on selecting audio pre-trained models for audio captioning
Peiran Yan, Shengchen Li
Audio captioning is a task that generates description of audio based on content. Pre-trained models are widely used in audio captioning due to high complexity. Unless a comprehensi…
Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers
Jingyi Wang, Shengchen Li
Keyword spotting (KWS) is beneficial for voice-based user interactions with low-power devices at the edge. The edge devices are usually always-on, so edge computing brings bandwidt…