The VOiCES from a Distance Challenge 2019:Analysis of Speaker Verification Results and Remaining Challenges

COLLEEN RICHEY; LUCIANA FERRER; MICHAEL LOMNITZ; DIEGO CASTÁN; MAHESH KUMAR NANDWANA; MITCHELL MCLAREN; AARON LAWSON

Congreso; Odyssey 2020; 2020

In early 2019, the VOiCES from a Distance Challenge 2019 washeld to foster research in the areas of speaker recognition and automatic speech recognition (ASR), with a special focus onsingle-channel distant/far-field audio under various noisy conditions. The challenge was based on the VOiCES corpus collected in real reverberant environments. This paper provides details ofthe challenge and analysis of evaluation results for the speaker recognition task. For the speaker recognition task, a total of 21 international research organizations from academia and industry participated in the challenge and submitted 58 valid systems. We report an in-depth analysis of system performance of the top-performing systems for the task of speaker recognition broken down by multiple factors such as the room acoustics, microphone type, distractor type, and microphone location. We also discuss the remaining challenges in far-field speaker recognition and suggest directions for future research.