This paper represents the first results using “end-to-end” techniques for speech recognition and keyword search on low-resource languages.
Amharic is one of the less resourced languages due to a lack of research attention. Even though there are some growing efforts to build general ...
To this end, we propose an E2E KWS model consists of four parts, including speech encoder-decoder, query encoder-decoder, attention mechanism and energy scorer.
This paper represents the first results using “end-to-end” techniques for speech recognition and keyword search on low-resource languages. We find that they ...
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Advanced Neural Networks are widely used to recognize multi-modal conversational speech with significant improvements in accuracy automatically.
Oct 19, 2024 · Identifying the most effective model for low-resource languages, offering valuable insights for future research and practical applications.
This study has designed a keyword search framework based on end-to-end speech recognition specifically for such languages.
In order to illustrate the per- formance on low resource condition, we only use LimitedLP, which contains only about 10-hour speech and the correspond- ing ...
Jun 15, 2024 · Identifying the influence of transfer learning method in developing an end-to-end automatic speech recognition system with a low data level.
Aug 22, 2022 · The automatic speech recognition area has started to adopt end-to-end neural network solutions for creating speech recognizers.