4 papers
Order-free Learning Alleviating Exposure Bias in Multi-label Classification
Che-Ping Tsai, Hung-Yi Lee
Multi-label classification (MLC) assigns multiple labels to each sample. Prior studies show that MLC can be transformed to a sequence prediction problem with a recurrent neural net…
Completely Unsupervised Speech Recognition By A Generative Adversarial Network Harmonized With Iteratively Refined Hidden Markov Models
Kuan-Yu Chen, Che-Ping Tsai, Da-Rong Liu +2
Producing a large annotated speech corpus for training ASR systems remains difficult for more than 95% of languages all over the world which are low-resourced, but collecting a rel…
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification
Che-Ping Tsai, Hung-Yi Lee
Recent work has shown that exploiting relations between labels improves the performance of multi-label classification. We propose a novel framework based on generative adversarial…
Transcribing Lyrics From Commercial Song Audio: The First Step Towards Singing Content Processing
Che-Ping Tsai, Yi-Lin Tuan, Lin-shan Lee
Spoken content processing (such as retrieval and browsing) is maturing, but the singing content is still almost completely left out. Songs are human voice carrying plenty of semant…