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For many years, i-vector based audio embedding techniques were the dominant approach for speaker verification and speaker diarization applications.
“Long short-term memory,”
Sepp Hochreiter and Jürgen Schmidhuber, · 1997
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“Callhome american english speech ldc97s42,”
A Canavan, D Graff, and G Zipperlen, · 1997
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“A spectral clustering approach to speaker diarization.,”
Huazhong Ning, Ming Liu, Hao Tang, and Thomas S Huang, · 2006
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“Diffusion maps,”
Ronald R Coifman and Stéphane Lafon, · 2006
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“A tutorial on spectral clustering,”
Ulrike Von Luxburg, · 2007
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“k-means++: The advantages of careful seeding,”
David Arthur and Sergei Vassilvitskii, · 2007
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“Stream-based speaker segmentation using speaker factors and eigenvoices,”
Fabio Castaldo, Daniele Colibro, Emanuele Dalmasso, Pietro Laface, and Claudio Vair, · 2008
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“Diarization of telephone conversations using factor analysis,”
Patrick Kenny, Douglas Reynolds, and Fabio Castaldo, · 2010
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“Initialization of iterative-based speaker diarization systems for telephone conversations,”
Oshry Ben-Harush, Ortal Ben-Harush, Itshak Lapidot, and Hugo Guterman, · 2012
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“Unsupervised methods for speaker diarization: An integrated and iterative approach,”
Stephen H Shum, Najim Dehak, Réda Dehak, and James R Glass, · 2013
Cited alongside, same era.
“A study of the cosine distance-based mean shift for telephone speech diarization,”
Mohammed Senoussaoui, Patrick Kenny, Themos Stafylakis, and Pierre Dumouchel, · 2014
Cited alongside, same era.
“Speaker diarization with plda i-vector scoring and unsupervised calibration,”
Gregory Sell and Daniel Garcia-Romero, · 2014
Cited alongside, same era.
“Deep neural networks for small footprint text-dependent speaker verification,”
Ehsan Variani, Xin Lei, Erik McDermott, Ignacio Lopez Moreno, and Javier Gonzalez-Dominguez, · 2014
Cited alongside, same era.
“Small-footprint keyword spotting using deep neural networks,”
Guoguo Chen, Carolina Parada, and Georg Heigold, · 2014
Cited alongside, same era.
“End-to-end text-dependent speaker verification,”
Georg Heigold, Ignacio Moreno, Samy Bengio, and Noam Shazeer, · 2016
Later among the works it cites.
“Feature learning with raw-waveform cldnns for voice activity detection,”
Rubén Zazo Candil, Tara N Sainath, Gabor Simko, and Carolina Parada, · 2016
Later among the works it cites.
“Attention-based models for text-dependent speaker verification,”
F A Rezaur Rahman Chowdhury, Quan Wang, Li Wan, and Ignacio Lopez Moreno, · 2017
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“Generalized end-to-end loss for speaker verification,”
Li Wan, Quan Wang, Alan Papir, and Ignacio Lopez Moreno, · 2017
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“Speaker diarization using deep neural network embeddings,”
Daniel Garcia-Romero, David Snyder, Gregory Sell, Daniel Povey, and Alan McCree, · 2017
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Haşim Sak, Andrew Senior, and Françoise Beaufays, · 2014
Cited alongside, same era.
“Diarization resegmentation in the factor analysis subspace,”
Gregory Sell and Daniel Garcia-Romero, · 2015
Cited alongside, same era.
“Locally-connected and convolutional neural networks for small footprint speaker recognition,”
Yu-hsin Chen, Ignacio Lopez-Moreno, Tara N Sainath, Mirkó Visontai, Raziel Alvarez, and Carolina Parada, · 2015
Cited alongside, same era.
“Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks,”
Rohit Prabhavalkar, Raziel Alvarez, Carolina Parada, Preetum Nakkiran, and Tara N Sainath, · 2015
Cited alongside, same era.
“Developing on-line speaker diarization system,”
Dimitrios Dimitriadis and Petr Fousek, · 2017
Closest in time.
“ pyannote.metrics
Hervé Bredin, · 2017
Closest in time.
“Speaker diarization using convolutional neural network for statistics accumulation refinement,”
Zbynĕk Zajíc, Marek Hrúz, and Ludĕk Müller, · 2017
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“Links: A high-dimensional online clustering method,”
Philip Andrew Mansfield, Quan Wang, Carlton Downey, Li Wan, and Ignacio Lopez Moreno, · 2018
Closest in time.