A
Aaron Lawson
Researcher at SRI International
Publications - 52
Citations - 1103
Aaron Lawson is an academic researcher from SRI International. The author has contributed to research in topics: Speaker recognition & Computer science. The author has an hindex of 17, co-authored 46 publications receiving 896 citations.
Papers
More filters
Proceedings ArticleDOI
The Speakers in the Wild (SITW) Speaker Recognition Database.
TL;DR: The Speakers in the Wild (SITW) speaker recognition database contains hand-annotated speech samples from open-source media for the purpose of benchmarking text-independent speaker recognition technology on single and multi-speaker audio acquired across unconstrained or “wild” conditions.
Posted Content
Voices Obscured in Complex Environmental Settings (VOICES) corpus
Colleen Richey,M. A. Barrios,Zeb Armstrong,Chris Bartels,Horacio Franco,Martin Graciarena,Aaron Lawson,Mahesh Kumar Nandwana,Allen R. Stauffer,Julien van Hout,Paul Gamble,J. Hetherly,Cory Stephenson,Karl Ni +13 more
TL;DR: Voices Obscured In Complex Environmental Settings (VOICES) as mentioned in this paper is a large-scale dataset of speech recorded by far-field microphones in noisy room conditions, where audio was recorded in furnished rooms with background noise played in conjunction with foreground speech selected from the LibriSpeech corpus.
Application of Convolutional Neural Networks to Language Identification in Noisy Conditions
TL;DR: Two novel frontends for robust language identification (LID) using a convolutional neural network trained for automatic speech recognition (ASR) and the CNN is used to obtain the posterior probabilities for i-vector training and extraction instead of a universal background model (UBM).
Posted Content
The VOiCES from a Distance Challenge 2019 Evaluation Plan.
Mahesh Kumar Nandwana,Julien van Hout,Mitchell McLaren,Colleen Richey,Aaron Lawson,Maria Alejandra Barrios +5 more
TL;DR: The "VOiCES from a Distance Challenge 2019" is designed to foster research in the area of speaker recognition and automatic speech recognition with the special focus on single channel distant/far-field audio, under noisy conditions.
Proceedings ArticleDOI
The 2016 Speakers in the Wild Speaker Recognition Evaluation.
TL;DR: The newly collected Speakers in the Wild (SITW) database was central to a text-independent speaker recognition challenge and analysis of evaluation results are provided.