Search Results for author:
Found 7 papers, 2 papers with code
Wearable SELD dataset: Dataset for sound event localization and detection using wearable devices around head
Sound event localization and detection (SELD) is a combined task of identifying the sound event and its direction.
APPLADE: Adjustable Plug-and-play Audio Declipper Combining DNN with Sparse Optimization
Still, they cannot perform well if the training data have mismatches and/or constraints in the time domain are not imposed.
Sparse time-frequency representation via atomic norm minimization
In this paper, we propose a method of estimating a sparse T-F representation using atomic norm.
Self-supervised Neural Audio-Visual Sound Source Localization via Probabilistic Spatial Modeling
By incorporating with the spatial information in multichannel audio signals, our method trains deep neural networks (DNNs) to distinguish multiple sound source objects.
Phase reconstruction based on recurrent phase unwrapping with deep neural networks
In the proposed method, DNNs estimate phase derivatives instead of phase itself, which allows us to avoid the sensitivity problem.
Invertible DNN-based nonlinear time-frequency transform for speech enhancement
Therefore, some end-to-end methods used a DNN to learn the linear T-F transform which is much easier to understand.
Audio and Speech Processing Sound
Deep Griffin-Lim Iteration
This paper presents a novel phase reconstruction method (only from a given amplitude spectrogram) by combining a signal-processing-based approach and a deep neural network (DNN).
