As part of his inquiry into Speaker verification and Speaker diarisation, Najim Dehak is doing Speaker recognition research. By researching both Speaker diarisation and Speaker recognition, he produces research that crosses academic boundaries. Statistics is intertwined with Energy (signal processing) and Mixture model in his research. Najim Dehak performs multidisciplinary study in Mixture model and Statistics in his work. His Linguistics study frequently links to other fields, such as Syllable and Feature (linguistics). Syllable is closely attributed to Speech recognition in his research. Many of his studies involve connections with topics such as Speaker verification and Speech recognition. Feature (linguistics) is frequently linked to Linguistics in his study. Najim Dehak connects relevant research areas such as Energy (signal processing) and Gaussian in the domain of Quantum mechanics.
His research on Algorithm often connects related areas such as Computation, Decoding methods and State (computer science). His Algorithm research extends to the thematically linked field of State (computer science). While working in this field, Najim Dehak studies both Speech recognition and Recurrent neural network. In his works, Najim Dehak undertakes multidisciplinary study on Recurrent neural network and Speech recognition. Many of his studies on Artificial intelligence apply to Mixture model as well. He performs multidisciplinary studies into Natural language processing and Language model in his work. Najim Dehak performs multidisciplinary study on Language model and Machine learning in his works. In his research, he performs multidisciplinary study on Machine learning and Natural language processing. His Speaker verification research extends to the thematically linked field of Speaker recognition.
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Front-End Factor Analysis for Speaker Verification
Najim Dehak;Patrick J Kenny;Réda Dehak;Pierre Dumouchel.
IEEE Transactions on Audio, Speech, and Language Processing (2011)
A Study of Interspeaker Variability in Speaker Verification
P. Kenny;P. Ouellet;N. Dehak;V. Gupta.
IEEE Transactions on Audio, Speech, and Language Processing (2008)
Language Recognition via i-vectors and Dimensionality Reduction.
Najim Dehak;Pedro A. Torres-Carrasquillo;Douglas A. Reynolds;Réda Dehak.
conference of the international speech communication association (2011)
Deep Neural Network Approaches to Speaker and Language Recognition
Fred Richardson;Douglas Reynolds;Najim Dehak.
IEEE Signal Processing Letters (2015)
Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification
Najim Dehak;Reda Dehak;Patrick Kenny;Niko Brummer.
conference of the international speech communication association (2009)
Cosine Similarity Scoring without Score Normalization Techniques.
Najim Dehak;Réda Dehak;James R. Glass;Douglas A. Reynolds.
Comparison of scoring methods used in speaker recognition with Joint Factor Analysis
Ondrej Glembek;Lukas Burget;Najim Dehak;Niko Brummer.
international conference on acoustics, speech, and signal processing (2009)
A unified deep neural network for speaker and language recognition.
Fred Richardson;Douglas A. Reynolds;Najim Dehak.
conference of the international speech communication association (2015)
Diarization is hard: Some experiences and lessons learned for the JHU team in the inaugural dihard challenge
Gregory Sell;David Snyder;Alan McCree;Daniel Garcia-Romero.
conference of the international speech communication association (2018)
Modeling Prosodic Features With Joint Factor Analysis for Speaker Verification
N. Dehak;P. Dumouchel;P. Kenny.
IEEE Transactions on Audio, Speech, and Language Processing (2007)
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