State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and Speakers in the Wild evaluations

• Published in: Computer speech & language Vol. 60; p. 101026
• Main Authors: Villalba, Jesús, Chen, Nanxin, Snyder, David, Garcia-Romero, Daniel, McCree, Alan, Sell, Gregory, Borgstrom, Jonas, García-Perera, Leibny Paola, Richardson, Fred, Dehak, Réda, Torres-Carrasquillo, Pedro A., Dehak, Najim
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2020
• Subjects: Calibration; Domain adaptation; Embeddings; Evaluations; NIST SRE18; SITW; Speaker recognition; X-Vectors; Embeddings; Domain adaptation; Evaluations; Speaker recognition; Calibration; NIST SRE18; X-Vectors; SITW

•Neural network embeddings become the new state-of-the-art in speaker recognition evaluations, improving i-vector performance by 2 in some conditions.•Comparing network architectures for x-vectors, factorized TDNN performed the best in a moderately large setup. However, E-TDNN can be also competitiv...