Search Results for author:
Found 6 papers, 3 papers with code
Learning to match transient sound events using attentional similarity for few-shot sound recognition
In this paper, we introduce a novel attentional similarity module for the problem of few-shot sound recognition.
Sound Audio and Speech Processing
Pop Music Highlighter: Marking the Emotion Keypoints
In a previous work, we introduced an attention-based convolutional recurrent neural network that uses music emotion classification as a surrogate task for music highlight extraction, for Pop songs.
Generating Music Medleys via Playing Music Puzzle Games
Generating music medleys is about finding an optimal permutation of a given set of music clips.
Revisiting the problem of audio-based hit song prediction using convolutional neural networks
Being able to predict whether a song can be a hit has impor- tant applications in the music industry.
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation
We conduct a user study to compare the melody of eight-bar long generated by MidiNet and by Google's MelodyRNN models, each time using the same priming melody.
Neural Network Based Next-Song Recommendation
The utilization of sequential patterns has boosted performance on several kinds of recommendation tasks.
