105 citations · 186 across the 6 of their papers we have counts for
6 papers
MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation
Haojie Wei, Jun Yuan, Rui Zhang +2
Music source separation and pitch estimation are two vital tasks in music information retrieval. Typically, the input of pitch estimation is obtained from the output of music sourc…
DJCM: A Deep Joint Cascade Model for Singing Voice Separation and Vocal Pitch Estimation
Haojie Wei, Xueke Cao, Wenbo Xu +2
Singing voice separation and vocal pitch estimation are pivotal tasks in music information retrieval. Existing methods for simultaneous extraction of clean vocals and vocal pitches…
JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval
Haojie Wei, Jun Yuan, Rui Zhang +2
Melody extraction is a core task in music information retrieval, and the estimation of pitch, onset and offset are key sub-tasks in melody extraction. Existing methods have limited…
RMVPE: A Robust Model for Vocal Pitch Estimation in Polyphonic Music
Haojie Wei, Xueke Cao, Tangpeng Dan +1
Vocal pitch is an important high-level feature in music audio processing. However, extracting vocal pitch in polyphonic music is more challenging due to the presence of accompanime…
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus
Bang Liu, Haojie Wei, Di Niu +2
The ability to ask questions is important in both human and machine intelligence. Learning to ask questions helps knowledge acquisition, improves question-answering and machine rea…
Learning to Generate Questions by Learning What not to Generate
Bang Liu, Mingjun Zhao, Di Niu +4
Automatic question generation is an important technique that can improve the training of question answering, help chatbots to start or continue a conversation with humans, and prov…