Aaron Lawson — accepted AI-conference papers

2019

Analysis and Mitigation of Vocal Effort Variations in Speaker Recognition

Mahesh Kumar Nandwana, Mitchell McLaren, Luciana Ferrer, Diego Castán, Aaron Lawson

ICASSP 2019accepted

In this work, we assess the impact of vocal effort on discrimination and calibration performance of a state-of-the-art speaker recognition system. We analyze three levels of vocal effort (low, normal, and high) from the SRI-FRTIV corpus. We use a deep neural network (DNN) speaker embeddings system w…

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2016

Exploring the role of phonetic bottleneck features for speaker and language recognition

Mitchell McLaren, Luciana Ferrer, Aaron Lawson

ICASSP 2016accepted

Using bottleneck features extracted from a deep neural network (DNN) trained to predict senone posteriors has resulted in new, state-of-the-art technology for language and speaker identification. For language identification, the features' dense phonetic information is believed to enable improved per…

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