{"title":"感谢您的关注：基于注意力的自动语音识别人工神经网络调查","authors":"Priyabrata Karmakar , Shyh Wei Teng , Guojun Lu","doi":"10.1016/j.iswa.2024.200406","DOIUrl":null,"url":null,"abstract":"<div><p>Attention is a very popular and effective mechanism in artificial neural network-based sequence-to-sequence models. In this survey paper, a comprehensive review of the different attention models used in developing automatic speech recognition systems is provided. The paper focuses on how attention models have grown and changed for offline and streaming speech recognition in recurrent neural networks and Transformer-based systems.</p></div>","PeriodicalId":100684,"journal":{"name":"Intelligent Systems with Applications","volume":"23 ","pages":"Article 200406"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667305324000802/pdfft?md5=594f02433cb07a398e883b4ae65168ef&pid=1-s2.0-S2667305324000802-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Thank you for attention: A survey on attention-based artificial neural networks for automatic speech recognition\",\"authors\":\"Priyabrata Karmakar , Shyh Wei Teng , Guojun Lu\",\"doi\":\"10.1016/j.iswa.2024.200406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Attention is a very popular and effective mechanism in artificial neural network-based sequence-to-sequence models. In this survey paper, a comprehensive review of the different attention models used in developing automatic speech recognition systems is provided. The paper focuses on how attention models have grown and changed for offline and streaming speech recognition in recurrent neural networks and Transformer-based systems.</p></div>\",\"PeriodicalId\":100684,\"journal\":{\"name\":\"Intelligent Systems with Applications\",\"volume\":\"23 \",\"pages\":\"Article 200406\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2667305324000802/pdfft?md5=594f02433cb07a398e883b4ae65168ef&pid=1-s2.0-S2667305324000802-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Intelligent Systems with Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667305324000802\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent Systems with Applications","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667305324000802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Thank you for attention: A survey on attention-based artificial neural networks for automatic speech recognition
Attention is a very popular and effective mechanism in artificial neural network-based sequence-to-sequence models. In this survey paper, a comprehensive review of the different attention models used in developing automatic speech recognition systems is provided. The paper focuses on how attention models have grown and changed for offline and streaming speech recognition in recurrent neural networks and Transformer-based systems.
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