Papers Singer Identification
“Singer Identification” 태그가 달린 논문 10편 · 필터 해제
Recognizing Ornaments in Vocal Indian Art Music with Active Annotation
Ornamentations, embellishments, or microtonal inflections are essential to melodic expression across many musical traditions, adding depth, nuance, and emotional impact to performances. Recognizing ornamentations in sing…
ChunkingGenre classificationSinger IdentificationTime Series AnalysisM2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
Contrastive language-audio pre-training (CLAP) has addressed audio-language tasks such as audio-text retrieval by aligning audio and text in a common feature space. While CLAP addresses general audio-language tasks, its …
Audio captioningAudio ClassificationAudio TaggingAudio to Text Retrieval+13From Real to Cloned Singer Identification
Cloned voices of popular singers sound increasingly realistic and have gained popularity over the past few years. They however pose a threat to the industry due to personality rights concerns. As such, methods to identif…
Contrastive LearningSinger IdentificationToward Leveraging Pre-Trained Self-Supervised Frontends for Automatic Singing Voice Understanding Tasks: Three Case Studies
Automatic singing voice understanding tasks, such as singer identification, singing voice transcription, and singing technique classification, benefit from data-driven approaches that utilize deep learning techniques. Th…
DiversityMusic ClassificationSelf-Supervised LearningSinger IdentificationSelf-Supervised Contrastive Learning for Singing Voices
This study introduces self-supervised contrastive learning to acquire feature representations of singing voices. To acquire robust representations in an unsupervised manner, regular self-supervised contrastive learning t…
Contrastive LearningSinger IdentificationVocal technique classificationBoosting the Predictive Accurary of Singer Identification Using Discrete Wavelet Transform For Feature Extraction
Facing the diversity and growth of the musical field nowadays, the search for precise songs becomes more and more complex. The identity of the singer facilitates this search. In this project, we focus on the problem of i…
Singer IdentificationMDCNN-SID: Multi-scale Dilated Convolution Network for Singer Identification
Most singer identification methods are processed in the frequency domain, which potentially leads to information loss during the spectral transformation. In this paper, instead of the frequency domain, we propose an end-…
Artist classificationMusic GenerationSinger IdentificationAddressing the confounds of accompaniments in singer identification
Identifying singers is an important task with many applications. However, the task remains challenging due to many issues. One major issue is related to the confounding factors from the background instrumental music that…
Data AugmentationSinger IdentificationSpectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source
Sound source separation has attracted attention from Music Information Retrieval(MIR) researchers, since it is related to many MIR tasks such as automatic lyric transcription, singer identification, and voice conversion.…
Information RetrievalMusic Information RetrievalRetrievalSinger Identification+1VocalSet: A Singing Voice Dataset
We present VocalSet, a singing voice dataset of a capella singing. Existing singing voice datasets either do not capture a large range of vocal techniques, have very few singers, or are single-pitch and devoid of musical…
Singer IdentificationVocal technique classification