Deep learning in neural networks: An overview
J Schmidhuber - Neural networks, 2015 - Elsevier
In recent years, deep artificial neural networks (including recurrent ones) have won
numerous contests in pattern recognition and machine learning. This historical survey …
numerous contests in pattern recognition and machine learning. This historical survey …
A comprehensive review on vision-based violence detection in surveillance videos
Recent advancements in intelligent surveillance systems for video analysis have been a
topic of great interest in the research community due to the vast number of applications to …
topic of great interest in the research community due to the vast number of applications to …
Light gated recurrent units for speech recognition
M Ravanelli, P Brakel, M Omologo… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A field that has directly benefited from the recent advances in deep learning is automatic
speech recognition (ASR). Despite the great achievements of the past decades, however, a …
speech recognition (ASR). Despite the great achievements of the past decades, however, a …
Avec 2014: 3d dimensional affect and depression recognition challenge
Mood disorders are inherently related to emotion. In particular, the behaviour of people
suffering from mood disorders such as unipolar depression shows a strong temporal …
suffering from mood disorders such as unipolar depression shows a strong temporal …
Avec 2013: the continuous audio/visual emotion and depression recognition challenge
Mood disorders are inherently related to emotion. In particular, the behaviour of people
suffering from mood disorders such as unipolar depression shows a strong temporal …
suffering from mood disorders such as unipolar depression shows a strong temporal …
Far-field automatic speech recognition
The machine recognition of speech spoken at a distance from the microphones, known as
far-field automatic speech recognition (ASR), has received a significant increase in attention …
far-field automatic speech recognition (ASR), has received a significant increase in attention …
Audio-visual speech enhancement using multimodal deep convolutional neural networks
Speech enhancement (SE) aims to reduce noise in speech signals. Most SE techniques
focus only on addressing audio information. In this paper, inspired by multimodal learning …
focus only on addressing audio information. In this paper, inspired by multimodal learning …
AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018)" Bipolar disorder, and
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
A sustainable production capability evaluation mechanism based on blockchain, LSTM, analytic hierarchy process for supply chain network
Due to the rapid development of information technology, supply chain network is evolving,
which involves a higher level of interdependence between organisations. Conventional …
which involves a higher level of interdependence between organisations. Conventional …
Voice activity detection
TN Sainath, G Simko, MCP San Martin… - US Patent …, 2019 - Google Patents
Methods, systems, and apparatus, including computer pro grams encoded on a computer
storage medium, for detecting voice activity. In one aspect, a method include actions of …
storage medium, for detecting voice activity. In one aspect, a method include actions of …