Search Results for author:
Found 8 papers, 0 papers with code
Impact of visual assistance for automated audio captioning
More specifically, visual features focusing on semantics appear appropriate in the context of automated audio captioning, while for sound event detection, time information seems to be more important.
Optimizing Temporal Resolution Of Convolutional Recurrent Neural Networks For Sound Event Detection
This is significantly better than the performance obtained by the baseline model (0. 527), which can effectively be attributed to the changes that were applied to the pooling operations of the network.
Multi-Source Transformer Architectures for Audiovisual Scene Classification
With regard to the accuracy measure, our best model achieved a score of 77. 1\% on the validation data, which is about the same as the performance obtained by the baseline system (77. 0\%).
Multi-encoder attention-based architectures for sound recognition with partial visual assistance
Large-scale sound recognition data sets typically consist of acoustic recordings obtained from multimedia libraries.
Impact of temporal resolution on convolutional recurrent networks for audio tagging and sound event detection
Many state-of-the-art systems for audio tagging and sound event detection employ convolutional recurrent neural architectures.
On the long-term learning ability of LSTM LMs
We inspect the long-term learning ability of Long Short-Term Memory language models (LSTM LMs) by evaluating a contextual extension based on the Continuous Bag-of-Words (CBOW) model for both sentence- and discourse-level LSTM LMs and by analyzing its performance.
Audiovisual transfer learning for audio tagging and sound event detection
We study the merit of transfer learning for two sound recognition problems, i. e., audio tagging and sound event detection.
Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events
We tackle the task of environmental event classification by drawing inspiration from the transformer neural network architecture used in machine translation.
