Acoustic Novelty Detection
1개 벤치마크 · 논문 3편 · 이 태스크의 논문 보기 →
Benchmarks
A3Lab PASCAL CHiME
결과 3개
Most implemented
Papers
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection
2019-02-13
· Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet 외
In this paper, we adapt Recurrent Neural Networks with Stochastic Layers, which are the state-of-the-art for generating text, music and speech, to the problem of acoustic novelty detection. By integrating uncertainty int…
Acoustic Novelty DetectionFeature EngineeringNovelty DetectionNon-linear prediction with LSTM recurrent neural networks for acoustic novelty detection
2015-10-01 · 2015 International Joint Conference on Neural Networks (IJCNN) 2015 10
· Erik Marchi ; Fabio Vesperini ; Felix Weninger ; Florian Eyben ; Stefano Squartini ; Björn Schuller
Acoustic novelty detection aims at identifying abnormal/novel acoustic signals which differ from the reference/normal data that the system was trained with. In this paper we present a novel approach based on non-linear p…
Acoustic Novelty DetectionDenoisingNovelty DetectionA novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks
2015-08-06 · 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 8
· Erik Marchi ; Fabio Vesperini ; Florian Eyben ; Stefano Squartini ; Björn Schuller
Acoustic novelty detection aims at identifying abnormal/novel acoustic signals which differ from the reference/normal data that the system was trained with. In this paper we present a novel unsupervised approach based on…
Acoustic Novelty DetectionDenoisingNovelty Detection