Robuta

https://bytez.com/docs/arxiv/1808.01935/paper Audio Tagging With Connectionist Temporal Classification Model Using Sequential Labelled Data |... Aug 6, 2018 - Audio tagging aims to predict one or several labels in an audio clip. Many previous works use weakly labelled data (WLD) for audio tagging, where only presence... audio taggingconnectionisttemporalclassificationmodel https://scholar.xjtlu.edu.cn/en/publications/audio-tagging-with-connectionist-temporal-classification-model-us/ Audio Tagging With Connectionist Temporal Classification Model Using Sequentially Labelled Data -... audio taggingconnectionisttemporalclassificationmodel https://www.isca-archive.org/interspeech_2023/liu23m_interspeech.html ISCA Archive - Ontology-aware Learning and Evaluation for Audio Tagging learning and evaluationisca archiveaudio taggingontologyaware https://www.amazon.science/publications/intra-utterance-similarity-preserving-knowledge-distillation-for-audio-tagging Intra-utterance similarity preserving knowledge distillation for audio tagging - Amazon Science Knowledge Distillation (KD) is a popular area of research for reducing the size of large models while still maintaining good performance. The outputs of larger... knowledge distillationaudio taggingamazon scienceintrautterance https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/5559/weakly-labelled-audio-tagging-via-convolutional-networks-with-spatialchannelwise-attention Weakly Labelled Audio Tagging Via Convolutional Networks With Spatial And Channel-Wise Attention |... Multiple instance learning (MIL) with convolutional neural networks (CNNs) has been proposed recently for weakly labelled audio tagging. However, features from... audio tagginglabelledvianetworksspatial