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pro vyhledávání: '"Bittner, Rachel A."'
Music-text multimodal systems have enabled new approaches to Music Information Research (MIR) applications such as audio-to-text and text-to-audio retrieval, text-based song generation, and music captioning. Despite the reported success, little effor
Externí odkaz:
http://arxiv.org/abs/2409.11449
Music two-tower multimodal systems integrate audio and text modalities into a joint audio-text space, enabling direct comparison between songs and their corresponding labels. These systems enable new approaches for classification and retrieval, lever
Externí odkaz:
http://arxiv.org/abs/2407.18058
Music has a unique and complex structure which is challenging for both expert humans and existing AI systems to understand, and presents unique challenges relative to other forms of audio. We present LLark, an instruction-tuned multimodal model for \
Externí odkaz:
http://arxiv.org/abs/2310.07160
Deep learning-based approaches to musical source separation are often limited to the instrument classes that the models are trained on and do not generalize to separate unseen instruments. To address this, we propose a few-shot musical source separat
Externí odkaz:
http://arxiv.org/abs/2205.01273
Autor:
Bittner, Rachel M., Bosch, Juan José, Rubinstein, David, Meseguer-Brocal, Gabriel, Ewert, Sebastian
Automatic Music Transcription (AMT) has been recognized as a key enabling technology with a wide range of applications. Given the task's complexity, best results have typically been reported for systems focusing on specific settings, e.g. instrument-
Externí odkaz:
http://arxiv.org/abs/2203.09893
Autor:
Bittner, Rachel A., Greene, Anna M., Leary, Jacob B., Donald, Hailey M., Capeci, Haley E., Moschonas, Eleni H., Cheng, Jeffrey P., Bondi, Corina O., Kline, Anthony E.
Publikováno v:
In Brain Research 1 January 2025 1846
Autor:
Moschonas, Eleni H., Steber, Jade A., Capeci, Haley E., Donald, Hailey M., Vozzella, Vincent J., Bittner, Rachel A., Annas, Ellen M., Rennerfeldt, Piper L., Cheng, Jeffrey P., Bondi, Corina O., Kline, Anthony E.
Publikováno v:
In Experimental Neurology January 2025 383
Autor:
Bittner, Rachel M., Pasalo, Katherine, Bosch, Juan José, Meseguer-Brocal, Gabriel, Rubinstein, David
To compliment the existing set of datasets, we present a small dataset entitled vocadito, consisting of 40 short excerpts of monophonic singing, sung in 7 different languages by singers with varying of levels of training, and recorded on a variety of
Externí odkaz:
http://arxiv.org/abs/2110.05580
In this article, we aim to provide a review of the key ideas and approaches proposed in 20 years of scientific literature around musical version identification (VI) research and connect them to current practice. For more than a decade, VI systems suf
Externí odkaz:
http://arxiv.org/abs/2109.02472
Autor:
Vozzella, Vincent J., Bittner, Rachel A., Ranellone, Tyler S., Grimm, Kelsey M., Palmer, Kelsey N., Carpio, Anna N., Abel, Quinn C., Moschonas, Eleni H., Bondi, Corina O., Kline, Anthony E.
Publikováno v:
In Experimental Neurology March 2024 373