Biblio
Filters: Author is Rong Gong [Clear All Filters]
Timbre Analysis of Music Audio Signals with Convolutional Neural Networks.
25th European Signal Processing Conference (EUSIPCO).
(2017).
(2018).
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification.
15th Sound & Music Computing Conference. Abstract
(2018).
Score-Informed Syllable Segmentation for Jingju a Cappella Singing Voice with Mel-Frequency Intensity Profiles.
International Workshop on Folk Music Analysis. 107-113. Abstract
(2017).
Score-informed Syllable Segmentation for A Cappella Singing Voice with Convolutional Neural Networks.
The 18th International Society for Music Information Retrieval Conference. Abstract
(2017).
Pitch Contour Segmentation for Computer-aided Jingju Singing Training.
13th Sound and Music Computing Conference (SMC 2016). 172-178. Abstract
(2016).
Identification of potential Music Information Retrieval technologies for computer-aided jingju singing training.
The 5th China Conference on Sound and Music Technology - Chinese Traditional Music Technology Session. Abstract
(2017).
Creating an A Cappella Singing Audio Dataset for Automatic Jingju Singing Evaluation Research.
4th International Digital Libraries for Musicology workshop (DLfM 2017). Abstract
(2017).
Comparison of the singing style of two jingju schools.
16th International Society for Music Information Retrieval (ISMIR) Conference. 507-513. Abstract
(2015).
Automatic Assessment of Singing Voice Pronunciation: A Case Study with Jingju Music.
Department of Information and Communications Technologies. xxxii + 235. Abstract
(2018).
Audio to Score Matching by Combining Phonetic and Duration Information.
The 18th International Society for Music Information Retrieval Conference. Abstract
(2017).
Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks.
Workshop on Detection and Classification of Acoustic Scenes and Events. Abstract
(2017).