MIR

Singer Identification Using Deep Timbre Feature Learning with KNN-NET
In this paper, we study the issue of automatic singer identification (SID) in popular music recordings, which aims to recognize who …
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Singer Identification Using Deep Timbre Feature Learning with KNN-NET
Vocal Melody Extraction via HRNet-Based Singing Voice Separation and Encoder-Decoder-Based F0 Estimation
Vocal melody extraction is an important and challenging task in music information retrieval. One main difficulty is that, most of the …
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Vocal Melody Extraction via HRNet-Based Singing Voice Separation and Encoder-Decoder-Based F0 Estimation
Research on Singing Voice Detection Based on a Long-Term Recurrent Convolutional Network with Vocal Separation and Temporal Smoothing
Singing voice detection or vocal detection is a classification task that determines whether a given audio segment contains singing …
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Research on Singing Voice Detection Based on a Long-Term Recurrent Convolutional Network with Vocal Separation and Temporal Smoothing
Singing Voice Detection Using Multi-Feature Deep Fusion with CNN
The problem of singing voice detection is to segment a song into vocal and non-vocal parts. Commonly used methods usually train a model …
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Singing Voice Detection Using Multi-Feature Deep Fusion with CNN
Transfer Learning for Music Classification and Regression Tasks Using Artist Tags
In this paper, a transfer learning method that exploits artist tags for general-purpose music feature vector extraction is presented. …
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Transfer Learning for Music Classification and Regression Tasks Using Artist Tags
Composer4Everyone: Automatic Music Generation with Audio Motif
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A Novel Singer Identification Method Using GMM-UBM
This paper presents a novel method for singer identification from polyphonic music audio signals. It is based on the universal …
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A Novel Singer Identification Method Using GMM-UBM
A Practical Singing Voice Detection System Based on GRU-RNN
In this paper, we present a practical three-step approach for singing voice detection based on a gated recurrent unit (GRU) recurrent …
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A Practical Singing Voice Detection System Based on GRU-RNN
Music Summary Detection with State Space Embedding and Recurrence Plot
Automatic music summary detection is a task that identifies the most representative part of a song, facilitating users to retrieve the …
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Music Summary Detection with State Space Embedding and Recurrence Plot