The VOiCES from a Distance Challenge 2019 Evaluation Plan
Mahesh Kumar Nandwana, Julien van Hout, Mitchell McLaren, Colleen, Richey, Aaron Lawson, Maria Alejandra Barrios

TL;DR
The VOiCES 2019 Challenge aims to benchmark and advance speaker recognition and ASR technologies for distant, noisy audio, providing a new dataset and fostering innovation in far-field speech processing.
Contribution
It introduces a comprehensive evaluation plan and dataset for distant speech recognition, encouraging research and development in this challenging area.
Findings
Benchmarking state-of-the-art systems
Supporting new research initiatives
Providing a realistic distant speech dataset
Abstract
The "VOiCES from a Distance Challenge 2019" is designed to foster research in the area of speaker recognition and automatic speech recognition (ASR) with the special focus on single channel distant/far-field audio, under noisy conditions. The main objectives of this challenge are to: (i) benchmark state-of-the-art technology in the area of speaker recognition and automatic speech recognition (ASR), (ii) support the development of new ideas and technologies in speaker recognition and ASR, (iii) support new research groups entering the field of distant/far-field speech processing, and (iv) provide a new, publicly available dataset to the community that exhibits realistic distance characteristics.
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Taxonomy
TopicsSpeech Recognition and Synthesis · Music and Audio Processing · Speech and Audio Processing
