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Hussein T. Al-Natsheh | Wael Farhan | Muhy Eddin Za'ter | Qusai Abu Obaidah | Hisham al Bataineh | Zyad Sober | Wael Farhan | Zyad Sober
[1] Zhen Yang,et al. Multi-dimensional Speaker Information Recognition with Multi-task Neural Network , 2018, 2018 IEEE 4th International Conference on Computer and Communications (ICCC).
[2] Constantine Kotropoulos,et al. Automatic speech classification to five emotional states based on gender information , 2004, 2004 12th European Signal Processing Conference.
[3] Yusuke Shinohara,et al. Adversarial Multi-Task Learning of Deep Neural Networks for Robust Speech Recognition , 2016, INTERSPEECH.
[4] K. Almeman,et al. Multi dialect Arabic speech parallel corpora , 2013, 2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA).
[5] Mihir Narayan Mohanty,et al. Efficient feature combination techniques for emotional speech classification , 2016, Int. J. Speech Technol..
[6] Yu Zhang,et al. A Survey on Multi-Task Learning , 2017, IEEE Transactions on Knowledge and Data Engineering.
[7] Stephan Vogel,et al. Speech recognition challenge in the wild: Arabic MGB-3 , 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[8] A Review on Speech Recognition Challenges and Approaches , 2012 .
[9] Patrick Nguyen,et al. Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis , 2018, NeurIPS.
[10] Erik McDermott,et al. Deep neural networks for small footprint text-dependent speaker verification , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[11] Patrick Kenny,et al. An i-vector Extractor Suitable for Speaker Recognition with both Microphone and Telephone Speech , 2010, Odyssey.
[12] Sanjeev Khudanpur,et al. X-Vectors: Robust DNN Embeddings for Speaker Recognition , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[13] J. van Leeuwen,et al. Neural Networks: Tricks of the Trade , 2002, Lecture Notes in Computer Science.
[14] Qiang Yang,et al. An Overview of Multi-task Learning , 2018 .
[15] Mansour Alsulaiman,et al. KSU rich Arabic speech database , 2013 .
[16] Andreas Stolcke,et al. Effective Arabic Dialect Classification Using Diverse Phonotactic Models , 2011, INTERSPEECH.
[17] Ziad Osman,et al. Arabic Natural Audio Dataset , 2018 .
[18] Shashidhar G. Koolagudi,et al. Emotion recognition from speech: a review , 2012, International Journal of Speech Technology.
[19] Wei Li,et al. An improved i-vector extraction algorithm for speaker verification , 2015, EURASIP J. Audio Speech Music. Process..
[20] Ziad Osman,et al. Emotion recognition in Arabic speech , 2017, 2017 Sensors Networks Smart and Emerging Technologies (SENSET).
[21] Sid-Ahmed Selouani,et al. Evaluation of an Arabic Speech Corpus of Emotions: A Perceptual and Statistical Analysis , 2018, IEEE Access.
[22] Mohamad Hasan Bahari,et al. Multitask speaker profiling for estimating age, height, weight and smoking habits from spontaneous telephone speech signals , 2014, 2014 4th International Conference on Computer and Knowledge Engineering (ICCKE).
[23] Nidhi Desai,et al. Feature Extraction and Classification Techniques for Speech Recognition: A Review , 2013 .
[24] P. Ekman,et al. What the face reveals : basic and applied studies of spontaneous expression using the facial action coding system (FACS) , 2005 .
[25] Grgoire Montavon,et al. Neural Networks: Tricks of the Trade , 2012, Lecture Notes in Computer Science.
[26] James R. Glass,et al. Automatic Dialect Detection in Arabic Broadcast Speech , 2015, INTERSPEECH.
[27] Lukás Burget,et al. Language Recognition in iVectors Space , 2011, INTERSPEECH.
[28] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.