| Timbre Analysis of Music Audio Signals with Convolutional Neural Networks J Pons, O Slizovskaia, R Gong, E Gómez, X Serra 25th European Signal Processing Conference (EUSIPCO 2017), 2017 | 167 | 2017 |
| Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks E Fonseca, R Gong, D Bogdanov, O Slizovskaia, E Gomez, X Serra DCASE 2017 workshop, Munich, Germany, 2017 | 33 | 2017 |
| Real-Time Audio-to-Score Alignment of Singing Voice Based on Melody and Lyric Information R Gong, P Cuvillier, N Obin, A Cont Interspeech 2015, Dresden, Germany, 2015 | 29 | 2015 |
| Score-informed syllable segmentation for a cappella singing voice with convolutional neural networks J Pons, R Gong, X Serra ISMIR 2017, Suzhou, China, 2017 | 22 | 2017 |
| Comparison of the Singing Style of Two Jingju Schools. RC Repetto, R Gong, N Kroher, X Serra ISMIR 2015, 507-513, 2015 | 18* | 2015 |
| Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-Field Speech Recognition R Gong, C Quillen, D Sharma, A Goderre, J Laínez, L Milanović Proc. Interspeech 2021, 3840-3844, 2021 | 17 | 2021 |
| Acoustic Scene Classification by Fusing LightGBM and VGG-net Multichannel Predictions R Gong, E Fonseca, D Bogdanov, O Slizovskaia, E Gomez, X Serra DCASE 2017 challenge, 2017 | 14 | 2017 |
| Pitch Contour Segmentation for Computer-aided Jingju Singing Training R Gong, Y Yang, X Serra Sound and Music Computing (SMC 2016), 2016 | 14 | 2016 |
| Creating an A Cappella Singing Audio Dataset for Automatic Jingju Singing Evaluation Research R Gong, RC Repetto, X Serra DLfM 2017, Shanghai, China, 2017 | 13 | 2017 |
| A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification E Fonseca, R Gong, X Serra Sound and Music Computing (SMC 2018), 2018 | 12 | 2018 |
| Towards an efficient deep learning model for musical onset detection R Gong, X Serra arXiv preprint arXiv:1806.06773, 2018 | 8 | 2018 |
| Spatial processing front-end for distant asr exploiting self-attention channel combinator D Sharma, R Gong, J Fosburgh, SY Kruchinin, PA Naylor, L Milanović ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 7 | 2022 |
| Score-Informed Syllable Segmentation for Jingju a Cappella Singing Voice with Mel-Frequency Intensity Profiles R Gong, N Obin, G Dzhambazov, X Serra International Workshop on Folk Music Analysis (FMA 2017), 2017 | 7* | 2017 |
| System and method for data augmentation for multi-microphone signal processing D Sharma, PA Naylor, R Gong, S Kruchinin, L Milanovic US Patent 11,670,298, 2023 | 6 | 2023 |
| Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions R Gong, X Serra Interspeech 2018, Hyderabad, India, 2018 | 6 | 2018 |
| Jingju a cappella singing dataset part1 R Gong, RC Repetto, Y Yang, X Serra https://doi.org/10.5281/zenodo.1323561, 2018 | 6 | 2018 |
| Audio to score matching by combining phonetic and duration information R Gong, J Pons, X Serra ISMIR 2017, Suzhou, China, 2017 | 6 | 2017 |
| Automatic Assessment of Singing Voice Pronunciation: A Case Study with Jingju Music R Gong Music Technology Group - Universitat Pompeu Fabra, 2018 | 4 | 2018 |
| AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection R Gong, H Xue, L Wang, X Xu, Q Li, L Xie, H Bu, S Wu, J Zhou, Y Qin, ... arXiv preprint arXiv:2406.07256, 2024 | 3 | 2024 |
| Identification of potential Music Information Retrieval technologies for computer-aided jingju singing training R Gong, X Serra Chinese traditional music technology session - China conference on sound and …, 2017 | 3 | 2017 |
Xavier SerraDepartment of Information and Communication Technologies, Universitat Pompeu Fabra (UPF), BarcelonaBestätigte E-Mail-Adresse bei upf.edu
