754 citations · 3.2k across the 112 of their papers we have counts for
10 papers · 1 filter
Diverse Audio Captioning via Adversarial Training
Xinhao Mei, Xubo Liu, Jianyuan Sun +2
Audio captioning aims at generating natural language descriptions for audio clips automatically. Existing audio captioning models have shown promising improvement in recent years.…
ARCA23K: An audio dataset for investigating open-set label noise
Turab Iqbal, Yin Cao, Andrew Bailey +2
The availability of audio data on sound sharing platforms such as Freesound gives users access to large amounts of annotated audio. Utilising such data for training is becoming inc…
An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning
Xinhao Mei, Qiushi Huang, Xubo Liu +10
Automated audio captioning aims to use natural language to describe the content of audio data. This paper presents an audio captioning system with an encoder-decoder architecture,…
Audio Captioning Transformer
Xinhao Mei, Xubo Liu, Qiushi Huang +2
Audio captioning aims to automatically generate a natural language description of an audio clip. Most captioning models follow an encoder-decoder architecture, where the decoder pr…
Sound Event Detection: A Tutorial
Annamaria Mesaros, Toni Heittola, Tuomas Virtanen +1
The goal of automatic sound event detection (SED) methods is to recognize what is happening in an audio signal and when it is happening. In practice, the goal is to recognize at wh…
Using UMAP to Inspect Audio Data for Unsupervised Anomaly Detection under Domain-Shift Conditions
Andres Fernandez, Mark D. Plumbley
The goal of Unsupervised Anomaly Detection (UAD) is to detect anomalous signals under the condition that only non-anomalous (normal) data is available beforehand. In UAD under Doma…