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The effects of speaking-style variability on automatic speaker verification were investigated using the UCLA Speaker Variability database which comprises multiple speaking styles per speaker.
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S. Chen and M. Xu, “Compensation of Intrinsic Variability with Factor Analysis Modeling for Robust Speaker Verification,” in
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D. Garcia-Romero, X. Zhou, and C. Y. Espy-Wilson, “Multicondition training of Gaussian PLDA models in i-vector space for noise and reverberation robust speaker recognition,” in
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S. J. Park, G. Yeung, J. Kreiman, P. A. Keating, and A. Alwan, “Using Voice Quality Features to Improve Short-Utterance, Text-Independent Speaker Verification Systems,”
2017
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J. Guo, N. Xu, K. Qian, Y. Shi, K. Xu, Y. Wu, and A. Alwan, “Deep neural network based i-vector mapping for speaker verification using short utterances,”
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J. Kreiman, S. J. Park, P. A. Keating, and A. Alwan, “The Relationship Between Acoustic and Perceived Intraspeaker Variability in Voice Quality,” in
2015
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D. Snyder, G. Chen, and D. Povey, “MUSAN: A Music, Speech, and Noise Corpus,”
2015
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J. Guo, G. Yeung, D. Muralidharan, H. Arsikere, A. Afshan, and A. Alwan, “Speaker Verification Using Short Utterances with DNN-Based Estimation of Subglottal Acoustic Features,”
2016
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S. J. Park, C. Sigouin, J. Kreiman, P. A. Keating, J. Guo, G. Yeung, F.-Y. Kuo, and A. Alwan, “Speaker Identity and Voice Quality: Modeling Human Responses and Automatic Speaker Recognition,” in
2016
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G. Heigold, I. Moreno, S. Bengio, and N. Shazeer, “End-to-end text-dependent speaker verification,” in
2016
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J. Guo, R. Yang, H. Arsikere, and A. Alwan, “Robust speaker identification via fusion of subglottal resonances and cepstral features,”
2017
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J. Guo, U. Nookala, and A. Alwan, “CNN-Based Joint Mapping of Short and Long Utterance i-Vectors for Speaker Verification Using Short Utterances,”
2017
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2018
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S. J. Park, G. Yeung, N. Vesselinova, J. Kreiman, P. A. Keating, and A. Alwan, “Towards understanding speaker discrimination abilities in humans and machines for text-independent short utterances of different speech styles,”
2018
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2018
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J. Williams and S. King, “Disentangling Style Factors from Speaker Representations,”
2019
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E. Rituerto-González, A. Mínguez-Sánchez, A. Gallardo-Antolín, and C. Peláez-Moreno, “Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence,”
2019
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P. Keating, J. Kreiman, and A. Alwan, “A New Speech Database For Within- and Between-Speaker Variability,”
2019
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S. K. Sarangi and G. Saha, “Improved Speech-Signal Based Frequency Warping Scale for Cepstral Feature in Robust Speaker Verification System,”
2020
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