- Read more about Segment-oriented evaluation of speaker diarisation performance
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High performance diarisation is a necessity for a variety of applications, and the task has been
studied extensively in the context of broadcast news and meeting processing. Upon introduction of
the task in NIST led evaluations, diarisation error rate (DER) was introduced as the standard metric
for evaluation, and it has been consistently used to compare systems ever since. DER is a frame
based metric that does not penalise for producing many short segments. However, practical systems
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- Read more about Towards PLDA-RBM based Speaker Recognition in Mobile Environment: Designing Stacked/Deep PLDA-RBM Systems
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- Read more about Feature Mapping, Score-, and Feature-Level Fusion for Improved Normal and Whispered Speech Speaker Verification
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In this paper, automatic speaker verification using normal and whispered speech is explored. Typically, for speaker verification systems with varying vocal effort inputs, standard solutions such as feature mapping or addition of data during parameter estimation (training) and enrollment stages result in a trade-off between accuracy gains with whispered test data and accuracy losses (up to 70% in equal error rate, EER) with normal test data. To overcome this shortcoming, this paper proposes two innovations.
ICASSP2016.pdf
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- Read more about Local variability modeling for text-independent speaker verification
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- Read more about Local Variability Vector for Text-Independent Speaker Verification (presentation)
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- Read more about Minimum Divergence Estimation of Speaker Prior in Multi-session PLDA Scoring
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