Nov 24, 2017 · This is the first study on understanding the correlation between language and music audio through deep architectures for learning the paired ...
Experimental results, using audio to retrieve lyrics or using lyrics to retrieve audio, verify the effectiveness of the proposed deep correlation learning ...
Nov 29, 2017 · However, correlation learn- ing between lyrics and audio for cross-modal music retrieval has not been sufficiently studied. Previous works ...
This is the first study that uses deep architectures for learning the temporal correlation between audio and lyrics, involving two-branch deep neural ...
This is the first study that uses deep architectures for learning the temporal correlation between audio and lyrics. A pretrained Doc2Vec model followed by ...
This is the first study that uses deep architectures for learning the temporal correlation between audio and lyrics. A pre-trained Doc2Vec model followed by ...
2019, Deep cross-modal correlation learning for audio and lyrics in music retrieval ; 2018, Music mood detection based on audio and lyrics with deep neural net.
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A new content-based, cross-modal retrieval method for video and music that is implemented through deep neural networks that extracts features from the two ...
... ... Audio-visual Embedding for Cross-Modal Music (AVECMM) [21] proposed a cluster-based deep canonical correlation analysis method, which divides the ...
The task of retrieving audio content relevant to lyric queries and vice versa plays a critical role in music-oriented applications.