Aims to tackle the real-world recordings with challenging settings as mentioned earlier, we have proposed novel separation algorithms for both single-channel and multi-channel cases. The achieved results have been described in seven publications. The results of our algorithms were also submitted to the international source separation campaign SiSEC 20164 [81] and obtained the best performance in terms of energybased criteria. | Doctoral dissertation of computer science: Audio source separation exploiting nmf based generic source spectral model MINISTRY OF EDUCATION AND TRAINING HANOI UNIVERSITY OF SCIENCE AND TECHNOLOGY DUONG THI HIEN THANH AUDIO SOURCE SEPARATION EXPLOITING NMF-BASED GENERIC SOURCE SPECTRAL MODEL DOCTORAL DISSERTATION OF COMPUTER SCIENCE Hanoi - 2019 MINISTRY OF EDUCATION AND TRAINING HANOI UNIVERSITY OF SCIENCE AND TECHNOLOGY DUONG THI HIEN THANH AUDIO SOURCE SEPARATION EXPLOITING NMF-BASED GENERIC SOURCE SPECTRAL MODEL Major: Computer Science Code: 9480101 DOCTORAL DISSERTATION OF COMPUTER SCIENCE SUPERVISORS: 1. ASSOC. PROF. DR. NGUYEN QUOC CUONG 2. DR. NGUYEN CONG PHUONG Hanoi - 2019 DECLARATION OF AUTHORSHIP I, Duong Thi Hien Thanh, hereby declare that this thesis is my original work and it has been written by me in its entirety. I confirm that: • This work was done wholly during candidature for a . research degree at Hanoi University of Science and Technology. • Where any part of this thesis has previously been submitted for a degree or any other qualification at Hanoi University of Science and Technology or any other institution, this has been clearly stated. • Where I have consulted the published work of others, this is always clearly at- tributed. • Where I have quoted from the work of others, the source is always given. With the exception of such quotations, this thesis is entirely my own work. • I have acknowledged all main sources of help. • Where the thesis is based on work done by myself jointly with others, I have made exactly what was done by others and what I have contributed myself. Hanoi, February 2019 . Student Duong Thi Hien Thanh SUPERVISORS . Dr. Nguyen Quoc Cuong Dr. Nguyen Cong Phuong i ACKNOWLEDGEMENT This thesis has been written during my doctoral study at International Research Institute .
