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09/20/2023
K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling
Lyric translation, a field studied for over a century, is now attracting...
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08/26/2023
A Computational Evaluation Framework for Singable Lyric Translation
Lyric translation plays a pivotal role in amplifying the global resonanc...
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07/31/2023
LP-MusicCaps: LLM-Based Pseudo Music Captioning
Automatic music captioning, which generates natural language description...
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06/25/2023
PrimaDNN': A Characteristics-aware DNN Customization for Singing Technique Detection
Professional vocalists modulate their voice timbre or pitch to make thei...
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05/23/2023
A study of audio mixing methods for piano transcription in violin-piano ensembles
While piano music transcription models have shown high performance for s...
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04/12/2023
A Phoneme-Informed Neural Network Model for Note-Level Singing Transcription
Note-level automatic music transcription is one of the most representati...
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03/19/2023
Textless Speech-to-Music Retrieval Using Emotion Similarity
We introduce a framework that recommends music based on the emotions of ...
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01/14/2023
Music Playlist Title Generation Using Artist Information
Automatically generating or captioning music playlist titles given a set...
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11/29/2022
Neural Vocoder Feature Estimation for Dry Singing Voice Separation
Singing voice separation (SVS) is a task that separates singing voice au...
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11/26/2022
Toward Universal Text-to-Music Retrieval
This paper introduces effective design choices for text-to-music retriev...
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11/14/2022
YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations
Existing multi-instrumental datasets tend to be biased toward pop and cl...
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11/07/2022
Hi,KIA: A Speech Emotion Recognition Dataset for Wake-Up Words
Wake-up words (WUW) is a short sentence used to activate a speech recogn...
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10/31/2022
Analysis and Detection of Singing Techniques in Repertoires of J-POP Solo Singers
In this paper, we focus on singing techniques within the scope of music ...
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06/24/2022
Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique Classification
Singing techniques are used for expressive vocal performances by employi...
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03/25/2022
Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music
Lack of large-scale note-level labeled data is the major obstacle to sin...
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10/13/2021
A Melody-Unsupervision Model for Singing Voice Synthesis
Recent studies in singing voice synthesis have achieved high-quality res...
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10/03/2021
Music Playlist Title Generation: A Machine-Translation Approach
We propose a machine-translation approach to automatically generate a pl...
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08/03/2021
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation
While there are many music datasets with emotion labels in the literatur...
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07/11/2021
PocketVAE: A Two-step Model for Groove Generation and Control
Creating a good drum track to imitate a skilled performer in digital aud...
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10/02/2020
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model
Recent advances in polyphonic piano transcription have been made primari...
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08/24/2020
A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment
A DJ mix is a sequence of music tracks concatenated seamlessly, typicall...
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08/14/2020
Semi-supervised learning using teacher-student models for vocal melody extraction
The lack of labeled data is a major obstacle in many music information r...
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08/09/2020
Metric Learning vs Classification for Disentangled Music Representation Learning
Deep representation learning offers a powerful paradigm for mapping inpu...
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08/09/2020
Disentangled Multidimensional Metric Learning for Music Similarity
Music similarity search is useful for a variety of creative tasks such a...
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07/23/2020
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music
Word embedding pioneered by Mikolov et al. is a staple technique for wor...
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10/30/2019
Temporal Feedback Convolutional Recurrent Neural Networks for Keyword Spotting
While end-to-end learning has become a trend in deep learning, the model...
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07/05/2019
Zero-shot Learning for Audio-based Music Classification and Tagging
Audio-based music classification and tagging is typically based on categ...
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06/27/2019
Representation Learning of Music Using Artist, Album, and Track Information
Supervised music representation learning has been performed mainly using...
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06/26/2019
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice
Previous approaches in singer identification have used one of monophonic...
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06/20/2019
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging
Music classification and tagging is conducted through categorical superv...
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07/24/2018
A Hybrid of Deep Audio Feature and i-vector for Artist Recognition
Artist recognition is a task of modeling the artist's musical style. Thi...
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07/18/2018
Deep Content-User Embedding Model for Music Recommendation
Recently deep learning based recommendation systems have been actively e...
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06/04/2018
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook
Since the vocal component plays a crucial role in popular music, singing...
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12/04/2017
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures
Music, speech, and acoustic scene sound are often handled separately in ...
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11/13/2017
Audio-to-score alignment of piano music using RNN-based automatic music transcription
We propose a framework for audio-to-score alignment on piano performance...
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10/28/2017
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
Recent work has shown that the end-to-end approach using convolutional n...
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10/18/2017
Representation Learning of Music Using Artist Labels
Recently, feature representation by learning algorithms has drawn great ...
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06/21/2017
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification
Music tag words that describe music audio by text have different levels ...
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03/06/2017
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
Music auto-tagging is often handled in a similar manner to image classif...
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03/06/2017
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
Recently, the end-to-end approach that learns hierarchical representatio...
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08/20/2015