H-VECTORS: Utterance-level Speaker Embedding Using A Hierarchical Attention Model

“Switchboard cellular part 1 audio,” https://catalog.ldc.upenn.edu/LDC2001S13 , 2001

David Miller David Graff, Kevin Walker, · 2001

Earlier work this paper cites.

“Callhome american english speech,” https://catalog.ldc.upenn.edu/LDC97S42 , 2001

George Zipperlen Alexandra Canavan, David Graff, · 2001

Earlier work this paper cites.

“Visualizing data using t-sne,”

Laurens van der Maaten and Geoffrey Hinton, · 2008

Earlier work this paper cites.

“Front-end factor analysis for speaker verification,”

Najim Dehak, Patrick J Kenny, Réda Dehak, Pierre Dumouchel, and Pierre Ouellet, · 2010

Earlier work this paper cites.

“2008 nist speaker recognition evaluation training set part 1,” https://catalog.ldc.upenn.edu/LDC2011S05 , 2011

NIST Multimodal Information Group, · 2011

Earlier work this paper cites.

“Deep neural networks for small footprint text-dependent speaker verification,”

Ehsan Variani, Xin Lei, Erik McDermott, Ignacio Lopez Moreno, and Javier Gonzalez-Dominguez, · 2014

Earlier work this paper cites.

“Empirical evaluation of gated recurrent neural networks on sequence modeling,”

Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho, and Yoshua Bengio, · 2014

Earlier work this paper cites.

“Dropout: a simple way to prevent neural networks from overfitting,”

Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov, · 2014

Earlier work this paper cites.

“A unified speaker-dependent speech separation and enhancement system based on deep neural networks,”

Tian Gao, Jun Du, Li Xu, Cong Liu, Li-Rong Dai, and Chin-Hui Lee, · 2015

Earlier work this paper cites.

“Batch normalization: Accelerating deep network training by reducing internal covariate shift,”

Sergey Ioffe and Christian Szegedy, · 2015

Cited alongside, same era.

“Adam: A method for stochastic optimization,”

Diederik P Kingma and Jimmy Lei Ba, · 2015

Cited alongside, same era.

“Hierarchical attention networks for document classification,”

Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy, · 2016

Cited alongside, same era.

“On the use of plda i-vector scoring for clustering short segments,”

Itay Salmun, Irit Opher, and Itshak Lapidot, · 2016

Cited alongside, same era.

“Deep neural network embeddings for text-independent speaker verification.,”

David Snyder, Daniel Garcia-Romero, Daniel Povey, and Sanjeev Khudanpur, · 2017

Cited alongside, same era.

“Speaker diarization using deep neural network embeddings,”

Daniel Garcia-Romero, David Snyder, Gregory Sell, Daniel Povey, and Alan McCree, · 2017

“Robust and discriminative speaker embedding via intra-class distance variance regularization.,”

Nam Le and Jean-Marc Odobez, · 2018

Later among the works it cites.

“How to train your speaker embeddings extractor,”

ML McLaren, Diego Castan, Mahesh Kumar Nandwana, Luciana Ferrer, and Emre Yilmaz, · 2018

Later among the works it cites.

“Speaker diarization with lstm,”

Quan Wang, Carlton Downey, Li Wan, Philip Andrew Mansfield, and Ignacio Lopz Moreno, · 2018

Later among the works it cites.

“X-vectors: Robust dnn embeddings for speaker recognition,”

David Snyder, Daniel Garcia-Romero, Gregory Sell, Daniel Povey, and Sanjeev Khudanpur, · 2018

Later among the works it cites.

“Attention mechanism in speaker recognition: What does it learn in deep speaker embedding?,”

Qiongqiong Wang, Koji Okabe, Kong Aik Lee, Hitoshi Yamamoto, and Takafumi Koshinaka, · 2018

Later among the works it cites.

“Self-attentive speaker embeddings for text-independent speaker verification.,”