Amber Afshan | DeepAI

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Jian Wu
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Abeer Alwan
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Alan McCree
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Huanhua Lu
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Jody Kreiman
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Soo Jin Park
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∙ 06/28/2022

Learning from human perception to improve automatic speaker verification in style-mismatched conditions

Our prior experiments show that humans and machines seem to employ diffe...

0 Amber Afshan, et al. ∙

∙ 06/28/2022

Attention-based conditioning methods using variable frame rate for style-robust speaker verification

We propose an approach to extract speaker embeddings that are robust to ...

0 Amber Afshan, et al. ∙

∙ 06/30/2021

Sequence-level Confidence Classifier for ASR Utterance Accuracy and Application to Acoustic Models

Scores from traditional confidence classifiers (CCs) in automatic speech...

0 Amber Afshan, et al. ∙

∙ 02/12/2021

Bi-APC: Bidirectional Autoregressive Predictive Coding for Unsupervised Pre-training and Its Application to Children's ASR

We present a bidirectional unsupervised model pre-training (UPT) method ...

0 Ruchao Fan, et al. ∙

∙ 08/08/2020

Speaker discrimination in humans and machines: Effects of speaking style variability

Does speaking style variation affect humans' ability to distinguish indi...

0 Amber Afshan, et al. ∙

∙ 08/08/2020

Variable frame rate-based data augmentation to handle speaking-style variability for automatic speaker verification

The effects of speaking-style variability on automatic speaker verificat...

0 Amber Afshan, et al. ∙

∙ 08/08/2020

Exploring the Use of an Unsupervised Autoregressive Model as a Shared Encoder for Text-Dependent Speaker Verification

In this paper, we propose a novel way of addressing text-dependent autom...

0 Vijay Ravi, et al. ∙

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