Learning Temporal Resolution in Spectrogram for Audio Classification

4 October 2022

Papers citing "Learning Temporal Resolution in Spectrogram for Audio Classification"

8 / 8 papers shown

Title
Play It Back: Iterative Attention for Audio Recognition Alexandros Stergiou Dima Damen 11 4 0 20 Oct 2022
Simple Pooling Front-ends For Efficient Audio Classification Xubo Liu Haohe Liu Qiuqiang Kong Xinhao Mei Mark D. Plumbley Wenwu Wang 27 12 0 03 Oct 2022
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection Ke Chen Xingjian Du Bilei Zhu Zejun Ma Taylor Berg-Kirkpatrick Shlomo Dubnov ViT 111 262 0 02 Feb 2022
Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation Qiuqiang Kong Yin Cao Haohe Liu Keunwoo Choi Yuxuan Wang 108 95 0 12 Sep 2021
Codified audio language modeling learns useful representations for music information retrieval Rodrigo Castellon Chris Donahue Percy Liang 74 70 0 12 Jul 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation Yuan Gong Yu-An Chung James R. Glass VLM 97 120 0 02 Feb 2021
LEAF: A Learnable Frontend for Audio Classification Neil Zeghidour O. Teboul Félix de Chaumont Quitry Marco Tagliasacchi VLM AAML 74 123 0 21 Jan 2021
Trainable Frontend For Robust and Far-Field Keyword Spotting Yuxuan Wang Pascal Getreuer Thad Hughes R. Lyon Rif A. Saurous 41 140 0 19 Jul 2016