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ORCIDOriol Nieto
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2020 – today
- 2024
[c29]Sreyan Ghosh, Sonal Kumar, Ashish Seth, Chandra Kiran Reddy Evuru, Utkarsh Tyagi, S. Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha:
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities. EMNLP 2024: 6288-6313- [c28]Sreyan Ghosh, Ashish Seth, Sonal Kumar, Utkarsh Tyagi, Chandra Kiran Reddy Evuru, Ramaneswaran S., Sakshi Singh, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha:
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models. ICLR 2024 - [i17]Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Utkarsh Tyagi, Oriol Nieto, Zeyu Jin, Dinesh Manocha:
VDGD: Mitigating LVLM Hallucinations in Cognitive Prompts by Bridging the Visual Perception Gap. CoRR abs/2405.15683 (2024) - [i16]Sreyan Ghosh, Sonal Kumar, Ashish Seth, Chandra Kiran Reddy Evuru, Utkarsh Tyagi, Sakshi Singh, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha:
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities. CoRR abs/2406.11768 (2024) - [i15]Sreyan Ghosh, Sonal Kumar, Chandra Kiran Reddy Evuru, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha:
ReCLAP: Improving Zero Shot Audio Classification by Describing Sounds. CoRR abs/2409.09213 (2024) - [i14]Ilaria Manco, Justin Salamon, Oriol Nieto:
Augment, Drop & Swap: Improving Diversity in LLM Captions for Efficient Music-Text Representation Learning. CoRR abs/2409.11498 (2024) - [i13]S. Sakshi, Utkarsh Tyagi, Sonal Kumar, Ashish Seth, Ramaneswaran Selvakumar, Oriol Nieto, Ramani Duraiswami, Sreyan Ghosh, Dinesh Manocha:
MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark. CoRR abs/2410.19168 (2024) - 2023
- [c27]Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan Russell, Kate Saenko:
Language-Guided Audio-Visual Source Separation via Trimodal Consistency. CVPR 2023: 10575-10584 - [c26]Ho-Hsiang Wu, Oriol Nieto, Juan Pablo Bello
, Justin Salamon:
Audio-Text Models Do Not Yet Leverage Natural Language. ICASSP 2023: 1-5 - [c25]Oriol Nieto, Zeyu Jin, Franck Dernoncourt, Justin Salamon:
Efficient Spoken Language Recognition via Multilabel Classification. INTERSPEECH 2023: 506-510 - [c24]Julia Wilkins, Justin Salamon, Magdalena Fuentes, Juan Pablo Bello, Oriol Nieto:
Bridging High-Quality Audio and Video Via Language for Sound Effects Retrieval from Visual Queries. WASPAA 2023: 1-5 - [i12]Ho-Hsiang Wu, Oriol Nieto, Juan Pablo Bello, Justin Salamon:
Audio-Text Models Do Not Yet Leverage Natural Language. CoRR abs/2303.10667 (2023) - [i11]Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan Russell, Kate Saenko:
Language-Guided Audio-Visual Source Separation via Trimodal Consistency. CoRR abs/2303.16342 (2023) - [i10]Oriol Nieto, Zeyu Jin, Franck Dernoncourt, Justin Salamon:
Efficient Spoken Language Recognition via Multilabel Classification. CoRR abs/2306.01945 (2023) - [i9]Julia Wilkins, Justin Salamon, Magdalena Fuentes, Juan Pablo Bello, Oriol Nieto:
Bridging High-Quality Audio and Video via Language for Sound Effects Retrieval from Visual Queries. CoRR abs/2308.09089 (2023) - [i8]Sreyan Ghosh, Ashish Seth, Sonal Kumar, Utkarsh Tyagi, Chandra Kiran Reddy Evuru, Ramaneswaran S., Sakshi Singh, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha:
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models. CoRR abs/2310.08753 (2023) - 2022
- [c23]Nikhil Kandpal, Oriol Nieto, Zeyu Jin:
Music Enhancement via Image Translation and Vocoding. ICASSP 2022: 3124-3128 - [i7]Nikhil Kandpal, Oriol Nieto, Zeyu Jin:
Music Enhancement via Image Translation and Vocoding. CoRR abs/2204.13289 (2022) - 2021
- [c22]Minz Won, Sergio Oramas, Oriol Nieto, Fabien Gouyon, Xavier Serra:
Multimodal Metric Learning for Tag-Based Music Retrieval. ICASSP 2021: 591-595 - [c21]Justin Salamon, Oriol Nieto, Nicholas J. Bryan:
Deep Embeddings and Section Fusion Improve Music Segmentation. ISMIR 2021: 594-601 - 2020
- [j2]Oriol Nieto, Gautham J. Mysore, Cheng-i Wang, Jordan B. L. Smith, Jan Schlüter, Thomas Grill, Brian McFee:
Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications. Trans. Int. Soc. Music. Inf. Retr. 3(1): 246-263 (2020) - [c20]Minz Won, Sanghyuk Chun, Oriol Nieto, Xavier Serra:
Data-Driven Harmonic Filters for Audio Representation Learning. ICASSP 2020: 536-540 - [c19]Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt:
Mood Classification Using Listening Data. ISMIR 2020: 542-549 - [i6]Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt:
Mood Classification Using Listening Data. CoRR abs/2010.11512 (2020) - [i5]Minz Won, Sergio Oramas, Oriol Nieto, Fabien Gouyon, Xavier Serra:
Multimodal Metric Learning for Tag-based Music Retrieval. CoRR abs/2010.16030 (2020)
2010 – 2019
- 2019
- [c18]Oriol Nieto, Matthew C. McCallum, Matthew E. P. Davies, Andrew Robertson, Adam M. Stark, Eran Egozy:
The Harmonix Set: Beats, Downbeats, and Functional Segment Annotations of Western Popular Music. ISMIR 2019: 565-572 - 2018
- [j1]Sergio Oramas, Francesco Barbieri, Oriol Nieto, Xavier Serra:
Multimodal Deep Learning for Music Genre Classification. Trans. Int. Soc. Music. Inf. Retr. 1(1): 4-21 (2018) - [c17]Jordi Pons, Oriol Nieto, Matthew Prockup, Erik M. Schmidt, Andreas F. Ehmann, Xavier Serra:
End-to-end Learning for Music Audio Tagging at Scale. ISMIR 2018: 637-644 - [c16]Samaneh Ebrahimi, Hossein Vahabi, Matthew Prockup, Oriol Nieto:
Predicting Audio Advertisement Quality. WSDM 2018: 153-161 - [i4]Samaneh Ebrahimi, Hossein Vahabi, Matthew Prockup, Oriol Nieto:
Predicting Audio Advertisement Quality. CoRR abs/1802.03319 (2018) - 2017
- [c15]Sergio Oramas, Oriol Nieto, Francesco Barbieri, Xavier Serra:
Multi-Label Music Genre Classification from Audio, Text and Images Using Deep Features. ISMIR 2017: 23-30 - [c14]Sergio Oramas, Oriol Nieto, Mohamed Sordo, Xavier Serra:
A Deep Multimodal Approach for Cold-start Music Recommendation. DLRS@RecSys 2017: 32-37 - [i3]Sergio Oramas, Oriol Nieto, Mohamed Sordo, Xavier Serra:
A Deep Multimodal Approach for Cold-start Music Recommendation. CoRR abs/1706.09739 (2017) - [i2]Sergio Oramas, Oriol Nieto, Francesco Barbieri, Xavier Serra:
Multi-label Music Genre Classification from Audio, Text, and Images Using Deep Features. CoRR abs/1707.04916 (2017) - [i1]Jordi Pons, Oriol Nieto, Matthew Prockup, Erik M. Schmidt, Andreas F. Ehmann, Xavier Serra:
End-to-end learning for music audio tagging at scale. CoRR abs/1711.02520 (2017) - 2016
- [c13]Oriol Nieto, Juan Pablo Bello:
Systematic Exploration of Computational Music Structure Research. ISMIR 2016: 547-553 - 2015
- [c12]Brian McFee, Oriol Nieto, Juan Pablo Bello:
Hierarchical Evaluation of Segment Boundary Detection. ISMIR 2015: 406-412 - [c11]Brian McFee, Colin Raffel, Dawen Liang, Daniel P. W. Ellis, Matt McVicar, Eric Battenberg, Oriol Nieto:
librosa: Audio and Music Signal Analysis in Python. SciPy 2015: 18-24 - 2014
- [c10]Andreu Ballus, Eric Arnau, Oriol Nieto, Frederic Font, Alba Torrents:
Embodying Theoretical Research in Music Cognition: Four Proposals for Theory-Driven Experimentation. CogSci 2014 - [c9]Oriol Nieto, Juan Pablo Bello:
Music segment similarity using 2D-Fourier Magnitude Coefficients. ICASSP 2014: 664-668 - [c8]Oriol Nieto, Morwaread Mary Farbood, Tristan Jehan, Juan Pablo Bello:
Perceptual Analysis of the F-Measure to Evaluate Section Boundaries in Music. ISMIR 2014: 265-270 - [c7]Colin Raffel, Brian McFee, Eric J. Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, Daniel P. W. Ellis:
MIR_EVAL: A Transparent Implementation of Common MIR Metrics. ISMIR 2014: 367-372 - [c6]Oriol Nieto, Morwaread Mary Farbood:
Identifying Polyphonic Musical Patterns From Audio Recordings Using Music Segmentation Techniques. ISMIR 2014: 411-416 - [c5]Eric J. Humphrey, Justin Salamon, Oriol Nieto, Jon Forsyth, Rachel M. Bittner, Juan Pablo Bello:
JAMS: A JSON Annotated Music Specification for Reproducible MIR Research. ISMIR 2014: 591-596 - 2013
- [c4]Oriol Nieto, Tristan Jehan:
Convex non-negative matrix factorization for automatic music structure identification. ICASSP 2013: 236-240 - [c3]Eric J. Humphrey, Oriol Nieto, Juan Pablo Bello:
Data Driven and Discriminative Projections for Large-Scale Cover Song Identification. ISMIR 2013: 149-154 - [c2]Tae Hong Park, Oriol Nieto:
Fortissimo: Force-Feedback for Mobile Devices. NIME 2013: 291-294 - 2012
- [c1]Oriol Nieto, Eric J. Humphrey, Juan Pablo Bello:
Compressing Music Recordings into Audio Summaries. ISMIR 2012: 313-318
Coauthor Index
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