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Deep-learning

A subfield of machine learning based on artificial neural networks with multiple layers (deep architectures) that learn representations of data.

Primate Subsegment Sorting
Primate Subsegment Sorting

Binary subsegment presorting improves noisy primate sound classification.

Autoencoder Trajectory Compression
Autoencoder Trajectory Compression

LSTM autoencoder better DP for trajectory compression (Fréchet/DTW).

Voronoi Data Augmentation
Voronoi Data Augmentation

VoronoiPatches improves CNN robustness via non-linear recombination augmentation.

RNN Memory Limits
RNN Memory Limits

Investigated memory limits of RNNs in recalling uncorrelated sequences.

Audio Vision Transformer
Audio Vision Transformer

Vision Transformer on spectrograms for audio classification, with data augmentation.

Primate Vocalization Classification
Primate Vocalization Classification

Deep BiLSTM classifies primate vocalizations for acoustic wildlife monitoring.

Acoustic Leak Detection
Acoustic Leak Detection

Anomaly detection models for acoustic leak detection in water networks.

Sound Anomaly Transfer
Sound Anomaly Transfer

Image nets detect acoustic anomalies in machinery via spectrograms.

Anomalous Sound Features
Anomalous Sound Features

Pretrained networks extract features for anomalous industrial sound detection.

Surgical-Mask Detection
Surgical-Mask Detection

CNN mask detection in speech using augmented spectrograms.

3D Primitive Segmentation
3D Primitive Segmentation

Hybrid method segments/fits primitives in large 3D point clouds.

Deep Audio Baselines
Deep Audio Baselines

Deep learning audio baseline for Interspeech 2019 ComParE challenge.

ErLoWa Leak Detection
ErLoWa Leak Detection

Deep learning detects acoustic water leaks with SWM.