ASMSP_L7: Audio source separation, enhancement and restoration |
| Session Type: Lecture |
| Time: Thursday, September 1, 14:00 - 15:40 |
| Location: Baltic + Aegean |
| Session Chair: Stefan Goetze, University of Sheffield |
| ASMSP_L7.1: COSSD - AN END-TO-END FRAMEWORK FOR MULTI-INSTANCE SOURCE SEPARATION AND DETECTION |
| Shrishail Baligar, Shawn Newsam, University of California Merced, United States |
| ASMSP_L7.2: RECURRENT NEURAL NETWORK-BASED ESTIMATION AND CORRECTION OF RELATIVE TRANSFER FUNCTION FOR PRESERVING SPATIAL CUES IN SPEECH SEPARATION |
| Zicheng Feng, Fei Chen, Southern University of Science and Technology, China; Yu Tsao, Academia Sinica, Taiwan |
| ASMSP_L7.3: SAMPLING FREQUENCY INDEPENDENT DIALOGUE SEPARATION |
| Jouni Paulus, Matteo Torcoli, Fraunhofer Institute for Integrated Circuits IIS, Germany |
| ASMSP_L7.4: METRICGAN+/-: INCREASING ROBUSTNESS OF NOISE REDUCTION ON UNSEEN DATA |
| George Close, Thomas Hain, Stefan Goetze, University of Sheffield, United Kingdom |
| ASMSP_L7.5: A COMPUTATION-EFFICIENT NEURAL NETWORK FOR VAD USING MULTI-CHANNEL FEATURE |
| Runze Wang, Wei-Ping Zhu, Concordia University, Canada; Iman Moazzen, Castofly Technologies, Canada |