Search Results - "Choi, Keunwoo"

Convolutional recurrent neural networks for music classification by Keunwoo Choi, Fazekas, Gyorgy, Sandler, Mark, Kyunghyun Cho

“…We introduce a convolutional recurrent neural network (CRNN) for music tagging. CRNNs take advantage of convolutional neural networks (CNNs) for local feature…”
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The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging by Choi, Keunwoo, Fazekas, Gyorgy, Cho, Kyunghyun, Sandler, Mark

“…Deep neural networks (DNNs) have been successfully applied to music classification including music tagging. However, there are several open questions regarding…”
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Sniper2L is a high-fidelity Cas9 variant with high activity by Kim, Young-hoon, Kim, Nahye, Okafor, Ikenna, Choi, Sungchul, Min, Seonwoo, Lee, Joonsun, Bae, Seung-Min, Choi, Keunwoo, Choi, Janice, Harihar, Vinayak, Kim, Youngho, Kim, Jin-Soo, Kleinstiver, Benjamin P., Lee, Jungjoon K., Ha, Taekjip, Kim, Hyongbum Henry

“…Although several high-fidelity SpCas9 variants have been reported, it has been observed that this increased specificity is associated with reduced on-target…”
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Toward Universal Text-To-Music Retrieval by Doh, SeungHeon, Won, Minz, Choi, Keunwoo, Nam, Juhan

“…This paper introduces effective design choices for text-to-music retrieval systems. An ideal text-based retrieval system would support various input queries…”
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Textless Speech-to-Music Retrieval Using Emotion Similarity by Doh, SeungHeon, Won, Minz, Choi, Keunwoo, Nam, Juhan

“…We introduce a framework that recommends music based on the emotions of speech. In content creation and daily life, speech contains information about human…”
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Similarity Measures for Vocal-Based Drum Sample Retrieval Using Deep Convolutional Auto-Encoders by Mehrabi, Adib, Choi, Keunwoo, Dixon, Simon, Sandler, Mark

“…The expressive nature of the voice provides a powerful medium for communicating sonic ideas, motivating recent research on methods for query by vocalisation…”
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Medleyvox: An Evaluation Dataset for Multiple Singing Voices Separation by Jeon, Chang-Bin, Moon, Hyeongi, Choi, Keunwoo, Chon, Ben Sangbae, Lee, Kyogu

“…Separation of multiple singing voices into each voice is a rarely studied area in music source separation research. The absence of a benchmark dataset has…”
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Deep neural networks for music tagging by Choi, Keunwoo

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Listen, Read, and Identify: Multimodal Singing Language Identification of Music by Choi, Keunwoo, Wang, Yuxuan

“…We propose a multimodal singing language classification model that uses both audio content and textual metadata. LRID-Net, the proposed model, takes an audio…”
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A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging by Choi, Keunwoo, Fazekas, Gyorgy, Sandler, Mark, Cho, Kyunghyun

“…In this paper, we empirically investigate the effect of audio preprocessing on music tagging with deep neural networks. We perform comprehensive experiments…”
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HCLAS-X: Hierarchical and Cascaded Lyrics Alignment System Using Multimodal Cross-Correlation by Kang, Minsung, Park, Soochul, Choi, Keunwoo

“…In this work, we address the challenge of lyrics alignment, which involves aligning the lyrics and vocal components of songs. This problem requires the…”
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Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models by Doh, SeungHeon, Choi, Keunwoo, Kwon, Daeyong, Kim, Taesu, Nam, Juhan

“…A conversational music retrieval system can help users discover music that matches their preferences through dialogue. To achieve this, a conversational music…”
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Deep Unsupervised Drum Transcription by Choi, Keunwoo, Cho, Kyunghyun

“…We introduce DrummerNet, a drum transcription system that is trained in an unsupervised manner. DrummerNet does not require any ground-truth transcription and,…”
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The Biased Journey of MSD_AUDIO.ZIP by Kim, Haven, Choi, Keunwoo, Modrzejewski, Mateusz, Liem, Cynthia C. S

“…The equitable distribution of academic data is crucial for ensuring equal research opportunities, and ultimately further progress. Yet, due to the complexity…”
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LP-MusicCaps: LLM-Based Pseudo Music Captioning by Doh, SeungHeon, Choi, Keunwoo, Lee, Jongpil, Nam, Juhan

“…Automatic music captioning, which generates natural language descriptions for given music tracks, holds significant potential for enhancing the understanding…”
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Semi-Supervised Music Tagging Transformer by Won, Minz, Choi, Keunwoo, Serra, Xavier

“…We present Music Tagging Transformer that is trained with a semi-supervised approach. The proposed model captures local acoustic characteristics in shallow…”
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Textless Speech-to-Music Retrieval Using Emotion Similarity by Doh, SeungHeon, Won, Minz, Choi, Keunwoo, Nam, Juhan

“…We introduce a framework that recommends music based on the emotions of speech. In content creation and daily life, speech contains information about human…”
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Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependent by Tailleur, Modan, Lee, Junwon, Lagrange, Mathieu, Choi, Keunwoo, Heller, Laurie M., Imoto, Keisuke, Okamoto, Yuki

“…This paper explores whether considering alternative domain-specific embeddings to calculate the Fréchet Audio Distance (FAD) metric can help the FAD to…”
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Toward Universal Text-to-Music Retrieval by Doh, SeungHeon, Won, Minz, Choi, Keunwoo, Nam, Juhan

“…This paper introduces effective design choices for text-to-music retrieval systems. An ideal text-based retrieval system would support various input queries…”
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A Proposal for Foley Sound Synthesis Challenge by Choi, Keunwoo, Oh, Sangshin, Kang, Minsung, McFee, Brian

“…"Foley" refers to sound effects that are added to multimedia during post-production to enhance its perceived acoustic properties, e.g., by simulating the…”
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