Interspeech 2021 - Friday, September 3, 2021

August 31, 2021
AppTek

Interspeech 2021 - Friday, September 3, 2021

Today's Interspeech paper is of a different nature and is a result of collaboration with the English Studies Department at RWTH Aachen University. It focuses on the linguistic complexities present in non-native spontaneous speech, which is a frequent problem encountered in speech recognition applications, given that so much of today’s English audio content is produced by non-native speakers. The significance of this contribution also lies in the fact that there is a lack of publicly available databases and benchmark datasets for spontaneously produced non-native speech, as well as the considerable inter-individual variability of such speech.


Y. Qiao, W. Zhou, E. Kerz, R. Schlüter:
"The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech"
http://arxiv.org/abs/2104.08529

AI and ML Technologies to Bridge the Language Gap
Find us on Social Media:
ABOUT APPTEK

AppTek provides an artificial intelligence and machine learning-based automatic speech recognition, machine translation and natural language understanding platform for organizations in a variety of markets, such as media and entertainment, call centers, government, enterprise business and others across the globe. Available via the cloud or on-premise, AppTek delivers the highest quality real-time streaming and batch speech technology solutions in the industry.   Featuring scientists and research engineers who are recognized amongst the best and most experienced in the world, the company’s solutions cover a wide array of languages, dialects, and channels.

SEARCH APPTEK.COM
Copyright 2021 AppTek    |    Privacy Policy      |       Terms of Service     |      Cookie Policy