CNN-LSTM models for multi-speaker source separation using Bayesian hyper parameter optimization

Zegers, Jeroen; Van hamme, hugo

doi:10.21437/Interspeech.2019-2423

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

CNN-LSTM models for multi-speaker source separation using Bayesian hyper parameter optimization

Author:

Zegers, Jeroen

Van hamme, hugo

Keywords:

Science & Technology, Life Sciences & Biomedicine, Technology, Audiology & Speech-Language Pathology, Computer Science, Artificial Intelligence, Computer Science, CNN-LSTM, Bayesian hyper parameter optimization, multi-speaker source separation, PSI_SPEECH, PSI_4421, 1S66217N#53508880

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH CNN-LSTM models for multi-speaker source separation using Bayesian hyper parameter optimization

Author:

Keywords:

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

CNN-LSTM models for multi-speaker source separation using Bayesian hyper parameter optimization