{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T08:21:41Z","timestamp":1765268501326,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030007935"},{"type":"electronic","value":"9783030007942"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00794-2_43","type":"book-chapter","created":{"date-parts":[[2018,9,7]],"date-time":"2018-09-07T19:50:24Z","timestamp":1536349824000},"page":"403-410","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Data Augmentation and Teacher-Student Training for LF-MMI Based Robust Speech Recognition"],"prefix":"10.1007","author":[{"family":"Asadullah","sequence":"first","affiliation":[]},{"given":"Tanel","family":"Alum\u00e4e","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,8]]},"reference":[{"key":"43_CR1","doi-asserted-by":"crossref","unstructured":"Alum\u00e4e, T., et al.: The 2016 BBN Georgian telephone speech keyword spotting system. In: ICASSP, pp. 5755\u20135759 (2017)","DOI":"10.1109\/ICASSP.2017.7953259"},{"key":"43_CR2","doi-asserted-by":"crossref","unstructured":"Barker, J., Marxer, R., Vincent, E., Watanabe, S.: The third CHiME speech separation and recognition challenge dataset, task and baselines. In: ASRU (2015)","DOI":"10.1109\/ASRU.2015.7404837"},{"key":"43_CR3","doi-asserted-by":"crossref","unstructured":"Harper, M.: The automatic speech recognition in reverberant environments (ASpIRE) challenge. In: ASRU (2015)","DOI":"10.1109\/ASRU.2015.7404843"},{"key":"43_CR4","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/MSP.2012.2205597","volume":"29","author":"G Hinton","year":"2012","unstructured":"Hinton, G.: Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups. IEEE Signal Process. Mag. 29, 82\u201397 (2012)","journal-title":"IEEE Signal Process. Mag."},{"key":"43_CR5","doi-asserted-by":"crossref","unstructured":"Hsiao, R., et al.: Robust speech recognition in unknown reverberant and noisy conditions. In: ASRU (2015)","DOI":"10.1109\/ASRU.2015.7404841"},{"key":"43_CR6","doi-asserted-by":"crossref","unstructured":"Kinoshita, K., et al.: The REVERB challenge: a common evaluation framework for dereverberation and recognition of reverberant speech. In: Applications of Signal Processing to Audio and Acoustics (2013)","DOI":"10.1109\/WASPAA.2013.6701894"},{"key":"43_CR7","doi-asserted-by":"crossref","unstructured":"Ko, T., Peddinti, V., Povey, D., Seltzer, M.L., Khudanpur, S.: A study on data augmentation of reverberant speech for robust speech recognition. In: ICASSP (2017)","DOI":"10.1109\/ICASSP.2017.7953152"},{"key":"43_CR8","doi-asserted-by":"crossref","unstructured":"Li, J., Seltzer, M., Wang, X., Zhao, R., Gong, Y.: Large-scale domain adaptation via teacher-student learning. In: INTERSPEECH (2017)","DOI":"10.21437\/Interspeech.2017-519"},{"key":"43_CR9","unstructured":"Lippmann, R., Martin, E., Paul, D.: Multi-style training for robust isolated-word speech recognition. In: ICASSP (1987)"},{"key":"43_CR10","doi-asserted-by":"crossref","unstructured":"Manohar, V., Hadian, H., Povey, D., Khudanpur, S.: Semi-supervised training of acoustic models using lattice-free MMI. In: ICASSP (2018)","DOI":"10.1109\/ICASSP.2018.8462331"},{"key":"43_CR11","doi-asserted-by":"publisher","first-page":"1717","DOI":"10.1109\/TASL.2010.2052251","volume":"18","author":"T Nakatani","year":"2010","unstructured":"Nakatani, T., Yoshioka, T., Kinoshita, K., Miyoshi, M., Juang, B.H.: Speech dereverberation based on variance normalized delayed linear prediction. IEEE Trans. Audio, Speech Lang. Process. 18, 1717\u20131731 (2010)","journal-title":"IEEE Trans. Audio, Speech Lang. Process."},{"key":"43_CR12","doi-asserted-by":"crossref","unstructured":"Peddinti, V., Chen, G., Manohar, V., Ko, T., Povey, D., Khudanpur, S.: JHU ASpIRE system: robust LVCSR with TDNNS, iVector adaptation and RNN-LMS. In: ASRU (2015)","DOI":"10.1109\/ASRU.2015.7404842"},{"key":"43_CR13","doi-asserted-by":"crossref","unstructured":"Peddinti, V., Povey, D., Khudanpur, S.: A time delay neural network architecture for efficient modeling of long temporal contexts. In: INTERSPEECH (2015)","DOI":"10.21437\/Interspeech.2015-647"},{"key":"43_CR14","unstructured":"Povey, D., et al.: The Kaldi speech recognition toolkit. In: IEEE Workshop on ASRU (2011)"},{"key":"43_CR15","doi-asserted-by":"crossref","unstructured":"Povey, D., et al.: Purely sequence-trained neural networks for ASR based on lattice-free MMI. In: INTERSPEECH (2016)","DOI":"10.21437\/Interspeech.2016-595"},{"key":"43_CR16","doi-asserted-by":"crossref","unstructured":"Sak, H., Senior, A., Rao, K., Beaufays, F.: Fast and accurate recurrent neural network acoustic models for speech recognition. In: INTERSPEECH (2015)","DOI":"10.21437\/Interspeech.2015-350"},{"key":"43_CR17","unstructured":"Synder, D., Chen, G., Povey, D.: MUSAN: a music, speech, and noise corpus. arXiv (2015)"},{"key":"43_CR18","doi-asserted-by":"crossref","unstructured":"Yu, D., Yao, K., Su, H., Li, G., Seide, F.: KL-divergence regularized deep neural network adapation for improved large vocabulary speech recognition. In: ICASSP (2013)","DOI":"10.1109\/ICASSP.2013.6639201"}],"container-title":["Lecture Notes in Computer Science","Text, Speech, and Dialogue"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00794-2_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T16:37:23Z","timestamp":1709829443000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00794-2_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030007935","9783030007942"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00794-2_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"8 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}