{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:27:19Z","timestamp":1755800839046},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T00:00:00Z","timestamp":1653868800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T00:00:00Z","timestamp":1653868800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Speech Technol"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s10772-022-09968-7","type":"journal-article","created":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T15:03:48Z","timestamp":1653923028000},"page":"921-931","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["HTK-based speech recognition and corpus-based English vocabulary online guiding system"],"prefix":"10.1007","volume":"25","author":[{"given":"Lu","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,30]]},"reference":[{"key":"9968_CR1","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1016\/j.compeleceng.2017.03.022","volume":"62","author":"N Asbai","year":"2017","unstructured":"Asbai, N., & Amrouche, A. (2017). Boosting scores fusion approach using Front-End Diversity and adaboost Algorithm, for speaker verification. Computers and Electrical Engineering, 62, 250\u2013257.","journal-title":"Computers and Electrical Engineering"},{"issue":"04","key":"9968_CR2","first-page":"176","volume":"320","author":"J Boxin","year":"2016","unstructured":"Boxin, J. (2016). The Enlightenment of cognitive linguistics on English Vocabulary Teaching. Overseas English, 320(04), 176\u2013177.","journal-title":"Overseas English"},{"key":"9968_CR3","doi-asserted-by":"crossref","unstructured":"Chang, X., Zhang, W., Qian, Y., Roux, J. L., & Watanabe, S. (2020). End-to-end multi-speaker speech recognition with transformer. In ICASSP 2020\u20132020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6134\u20136138). IEEE","DOI":"10.1109\/ICASSP40776.2020.9054029"},{"issue":"009","key":"9968_CR4","first-page":"5","volume":"000","author":"G Chenchen","year":"2016","unstructured":"Chenchen, G., & Ying, W. (2016). Practical exploration of practical teaching materials construction of online English education. Scientific Guide, 000(009), 5\u20135.","journal-title":"Scientific Guide"},{"issue":"07","key":"9968_CR5","first-page":"86","volume":"079","author":"Z Haiyan","year":"2017","unstructured":"Haiyan, Z. (2017). Exploration of network foreign language teaching and education mode innovation. English Square, 079(07), 86\u201387.","journal-title":"English Square"},{"key":"9968_CR6","doi-asserted-by":"crossref","unstructured":"Hrinchuk, O., Popova, M., & Ginsburg, B. (2020). Correction of automatic speech recognition with transformer sequence-to-sequence model. In ICASSP 2020\u20132020 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 7074\u20137078). IEEE","DOI":"10.1109\/ICASSP40776.2020.9053051"},{"key":"9968_CR7","unstructured":"Jiying, M. (2017). Problems and countermeasures of middle school English Vocabulary Teaching under the concept of new curriculum. Journal of Prose"},{"key":"9968_CR8","doi-asserted-by":"crossref","unstructured":"Li, M., Zoril\u0103, C., & Doddipatla, R. (2021). Transformer-based online speech recognition with decoder-end adaptive computation steps. In 2021 IEEE spoken language technology workshop (SLT) (pp. 1\u20137). IEEE","DOI":"10.1109\/SLT48900.2021.9383613"},{"key":"9968_CR9","unstructured":"Li, Z. (2016). Speech signal processing. China Machine Press"},{"key":"9968_CR10","doi-asserted-by":"crossref","unstructured":"Moritz, N., Hori, T., & Roux, J. L. (2021). Semi-supervised speech recognition via graph-based temporal classification. In ICASSP 2021\u20132021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6548\u20136552). IEEE","DOI":"10.1109\/ICASSP39728.2021.9414058"},{"issue":"3","key":"9968_CR11","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1080\/14992027.2019.1677951","volume":"59","author":"EH Ng","year":"2020","unstructured":"Ng, E. H., Ning, & R\u00f6nnberg, J. (2020). Hearing aid experience and background noise affect the robust relationship between working memory and speech recognition in noise. International Journal of Audiology, 59(3), 208\u2013218.","journal-title":"International Journal of Audiology"},{"key":"9968_CR12","doi-asserted-by":"crossref","unstructured":"Ochiai, T., Watanabe, S., Hori, T., & Hershey, J. R. (2017). Multichannel end-to-end speech recognition. . In International conference on machine learning (pp. 2632\u20132641). PMLR","DOI":"10.1109\/ICASSP.2018.8462161"},{"key":"9968_CR13","unstructured":"Okamoto, A. (2017). Speech recognition system, recognition dictionary registration system, and acoustic model identifier series generation apparatus."},{"key":"9968_CR14","doi-asserted-by":"crossref","unstructured":"Ravanelli, M., Zhong, J., Pascual, S., Swietojanski, P., Monteiro, J., Trmal, J., & Bengio, Y. (2020). Multi-task self-supervised learning for robust speech recognition. In ICASSP 2020\u20132020 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 6989\u20136993). IEEE","DOI":"10.1109\/ICASSP40776.2020.9053569"},{"issue":"2","key":"9968_CR15","first-page":"901","volume":"35","author":"SB Shambhu","year":"2018","unstructured":"Shambhu, S. B., Gupta, M., & Agarwal, S. (2018). SVM based voice activity detection by fusing a new acoustic feature PLMS with some existing acoustic features of speech. Journal of Intelligent & Fuzzy Systems, 35(2), 901\u2013908.","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"key":"9968_CR16","first-page":"86","volume":"05","author":"H Shaolong","year":"2016","unstructured":"Shaolong, H. (2016). Research on connected digital speech recognition based on HTK. Shanxi Electronic Technology, 05, 86\u201388.","journal-title":"Shanxi Electronic Technology"},{"key":"9968_CR17","first-page":"648","volume":"143","author":"A Sithara","year":"2018","unstructured":"Sithara, A., Thomas, A., & Mathew, D. (2018). Study of MFCC and IHC feature extraction methods with probabilistic acoustic models for speaker biometric applications. Procedia Computer Science, 143, 648\u2013662.","journal-title":"Procedia Computer Science"},{"key":"9968_CR18","doi-asserted-by":"crossref","unstructured":"Wang, Y., Mohamed, A., Le, D., Liu, C., Xiao, A., Mahadeokar, J., Huang, H., Tjandra, A., Zhang, X., Zhang, F., & Fuegen, C. (2020). Transformer-based acoustic modeling for hybrid speech recognition. In ICASSP 2020\u20132020 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 6874\u20136878). IEEE","DOI":"10.1109\/ICASSP40776.2020.9054345"},{"key":"9968_CR19","doi-asserted-by":"crossref","unstructured":"Wong, J. H. M., Gaur, Y., Zhao, R., Lu, L., Sun, E., Li, J., & Gong, Y. (2020). Combination of end-to-end and hybrid models for speech recognition. In Interspeech (pp. 1783\u20131787).","DOI":"10.21437\/Interspeech.2020-2141"},{"issue":"1","key":"9968_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3004055","volume":"13","author":"H Wu","year":"2017","unstructured":"Wu, H., Wang, Y., & Huang, J. (2017). Identification of reconstructed speech. ACM Transactions on Multimedia Computing Communications and Applications, 13(1), 1\u201320.","journal-title":"ACM Transactions on Multimedia Computing Communications and Applications"},{"key":"9968_CR21","unstructured":"Xu, Z. (2016). A preliminary study on the teaching strategies of English vocabulary in senior high school. New curriculum, middle school (12)"},{"key":"9968_CR22","unstructured":"Xuhong, Z. (2015). Study on the identification of risk based on voice emotion. Guangdong University of Technology"},{"key":"9968_CR23","doi-asserted-by":"crossref","unstructured":"Yang, C.-H. H., Qi, J., Chen, S. Y.-C., Chen, P.-Y., Siniscalchi, S. M., Ma, X., & Lee, C.-H. (2021). Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition. In ICASSP 2021\u20132021 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 6523\u20136527). IEEE","DOI":"10.1109\/ICASSP39728.2021.9413453"},{"key":"9968_CR24","first-page":"204","volume":"01","author":"Wu Yanzhan","year":"2016","unstructured":"Yanzhan, Wu. (2016). Improved speech recognition system based on HMM and genetic neural network. Computer System Application, 01, 204\u2013208.","journal-title":"Computer System Application"},{"issue":"16","key":"9968_CR25","first-page":"170","volume":"678","author":"Du Yi","year":"2020","unstructured":"Yi, Du. (2020). Exploration of English education based on network environment. Chinese and Foreign Entrepreneurs, 678(16), 170\u2013170.","journal-title":"Chinese and Foreign Entrepreneurs"},{"issue":"001","key":"9968_CR26","first-page":"41","volume":"000","author":"L Zhenhua","year":"2017","unstructured":"Zhenhua, L. (2017). The \u201cplate\u201d nature of English vocabulary and Its Enlightenment on English Teaching. Campus English, 000(001), 41\u201341.","journal-title":"Campus English"},{"key":"9968_CR27","unstructured":"Zhenhua, P. (2019). Research on the application of conceptual metaphor in high school English Vocabulary Teaching. Campus English (26)"}],"container-title":["International Journal of Speech Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-022-09968-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10772-022-09968-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-022-09968-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T11:18:38Z","timestamp":1670843918000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10772-022-09968-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,30]]},"references-count":27,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["9968"],"URL":"https:\/\/doi.org\/10.1007\/s10772-022-09968-7","relation":{},"ISSN":["1381-2416","1572-8110"],"issn-type":[{"value":"1381-2416","type":"print"},{"value":"1572-8110","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,30]]},"assertion":[{"value":"25 March 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 March 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 May 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}