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ORCIDSeyedmahdad Mirsamadi
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Journal Articles
- 2019
[j3]Seyedmahdad Mirsamadi
, John H. L. Hansen:
Multi-domain adversarial training of neural network acoustic models for distant speech recognition. Speech Commun. 106: 21-30 (2019)- 2016
- [j2]Seyedmahdad Mirsamadi, John H. L. Hansen:
A Generalized Nonnegative Tensor Factorization Approach for Distant Speech Recognition With Distributed Microphones. IEEE ACM Trans. Audio Speech Lang. Process. 24(10): 1721-1731 (2016) - 2012
- [j1]Seyedmahdad Mirsamadi, Shabnam Ghaffarzadegan, Hamid Sheikhzadeh, Seyed Mohammad Ahadi, Amir Hossein Rezaie:
Efficient Frequency Domain Implementation of Noncausal Multichannel Blind Deconvolution for Convolutive Mixtures of Speech. IEEE Trans. Speech Audio Process. 20(8): 2365-2377 (2012)
Conference and Workshop Papers
- 2017
- [c6]Seyedmahdad Mirsamadi, Emad Barsoum, Cha Zhang:
Automatic speech emotion recognition using recurrent neural networks with local attention. ICASSP 2017: 2227-2231 - [c5]Seyedmahdad Mirsamadi, John H. L. Hansen:
On Multi-Domain Training and Adaptation of End-to-End RNN Acoustic Models for Distant Speech Recognition. INTERSPEECH 2017: 404-408 - 2016
- [c4]Seyedmahdad Mirsamadi, Ivan Tashev:
Causal Speech Enhancement Combining Data-Driven Learning and Suppression Rule Estimation. INTERSPEECH 2016: 2870-2874 - 2015
- [c3]Seyedmahdad Mirsamadi, John H. L. Hansen:
A study on deep neural network acoustic model adaptation for robust far-field speech recognition. INTERSPEECH 2015: 2430-2434 - 2014
- [c2]Seyedmahdad Mirsamadi, John H. L. Hansen:
Multichannel speech dereverberation based on convolutive nonnegative tensor factorization for ASR applications. INTERSPEECH 2014: 2828-2832 - [c1]Seyedmahdad Mirsamadi, John H. L. Hansen:
Multichannel feature enhancement in distributed microphone arrays for robust distant speech recognition in smart rooms. SLT 2014: 507-512
Coauthor Index
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