BIP! Finder - Speech recognition challenge in the wild: Arabic MGB-3

2017 • Speech recognition challenge in the wild: Arabic MGB-3

Authors: Ali, Ahmed; Vogel, Stephan; Renals, Steve

Venue: 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

Type: Publication

Abstract: This paper describes the Arabic MGB-3 Challenge - Arabic Speech Recognition in the Wild. Unlike last year's Arabic MGB-2 Challenge, for which the recognition task was based on more than 1,200 hours broadcast TV news recordings from Aljazeera Arabic TV programs, MGB-3 emphasises dialectal Arabic using a multi-genre collection of Egyptian YouTube videos. Seven genres were used for the data collection: comedy, cooking, family/kids, fashion, drama, sports, and science (TEDx). A total of 16 hours of videos, split evenly across the different genres, ... (read more)

Impact:

1.796991E-8 5.805309E-9 39 24

/ Attention: 0 20

Topics: Natural language processing Speech recognition Artificial intelligence

DOI: 10.1109/asru.2017.8268952

External links: Crossref OpenAIRE

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