Author:
KARAMYAN D.S.,KIRAKOSYAN G.A.
Abstract
The ability to recognize unknown or rare words, such as technical terms and names, is crucial for speech recognition technology to accurately comprehend conversations in context. Nonetheless, current end-to-end speech recognition models often have difficulty in recognizing words that are rarely or never seen during training. This paper examines the effectiveness of different keyword biasing methods, as well as their modifications outlined in previous studies, which do not require any modifications to the ASR model.
Publisher
National Polytechnic University of Armenia