{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:58:59Z","timestamp":1740099539115,"version":"3.37.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030313715"},{"type":"electronic","value":"9783030313722"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-31372-2_16","type":"book-chapter","created":{"date-parts":[[2019,9,27]],"date-time":"2019-09-27T00:02:49Z","timestamp":1569542569000},"page":"188-197","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Building an ASR Corpus Based on Bulgarian Parliament Speeches"],"prefix":"10.1007","author":[{"given":"Diana","family":"Geneva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Georgi","family":"Shopov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stoyan","family":"Mihov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,27]]},"reference":[{"key":"16_CR1","doi-asserted-by":"publisher","unstructured":"Anastasakos, T., McDonough, J., Schwartz, R., Makhoul, J.: A compact model for speaker-adaptive training. In: Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP 1996. vol. 2, pp. 1137\u20131140 (Oct 1996). https:\/\/doi.org\/10.1109\/ICSLP.1996.607807","DOI":"10.1109\/ICSLP.1996.607807"},{"key":"16_CR2","doi-asserted-by":"crossref","unstructured":"Andreas Stolcke: SRILM - an extensible language modeling toolkit. In: INTERSPEECH (2002)","DOI":"10.21437\/ICSLP.2002-303"},{"key":"16_CR3","unstructured":"Andreeva, M., Marinov, I., Mihov, S.: SpeechLab 2.0: A high-quality text-to-speech system for bulgarian. In: Proceedings of the RANLP International Conference 2005. pp. 52\u201358 (September 2005)"},{"key":"16_CR4","doi-asserted-by":"publisher","unstructured":"Gopinath, R.A.: Maximum likelihood modeling with Gaussian distributions for classification. In: Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998 (Cat. No.98CH36181). vol. 2, pp. 661\u2013664 (May 1998). https:\/\/doi.org\/10.1109\/ICASSP.1998.675351","DOI":"10.1109\/ICASSP.1998.675351"},{"key":"16_CR5","unstructured":"Hateva, N., Mitankin, P., Mihov, S.: BulPhonC: bulgarian speech corpus for the development of ASR technology. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, Portoro\u017e, Slovenia, May 23\u201328, 2016. pp. 771\u2013774 (2016). http:\/\/www.lrec-conf.org\/proceedings\/lrec2016\/summaries\/478.html"},{"key":"16_CR6","doi-asserted-by":"crossref","unstructured":"Helgad\u00f3ttir, I.R., Kjaran, R., Nikul\u00e1sd\u00f3ttir, A.B., Guonason, J.: Building an ASR corpus using Althingi\u2019s parliamentary speeches. In: Proceedings INTERSPEECH. pp. 2163\u20132167 (2017). 10.21437\/Interspeech.2017-903. http:\/\/dx.doi.org\/10.21437\/Interspeech.2017-903","DOI":"10.21437\/Interspeech.2017-903"},{"key":"16_CR7","first-page":"246","volume":"2009","author":"P Mitankin","year":"2009","unstructured":"Mitankin, P., Mihov, S., Tinchev, T.: Large vocabulary continuous speech recognition for Bulgarian. Proc. RANLP 2009, 246\u2013250 (2009)","journal-title":"Proc. RANLP"},{"issue":"4","key":"16_CR8","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1006\/csla.1996.0013","volume":"10","author":"MJF Gales","year":"1996","unstructured":"Gales, M.J.F., Woodland, P.C.: Mean and variance adaptation within the MLLR framework. Comput. Speech Lang. 10(4), 249\u2013264 (1996). https:\/\/doi.org\/10.1006\/csla.1996.0013 . http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0885230896900133","journal-title":"Comput. Speech Lang."},{"key":"16_CR9","doi-asserted-by":"publisher","unstructured":"Panayotov, V., Chen, G., Povey, D., Khudanpur, S.: Librispeech: an ASR corpus based on public domain audio books. In: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 5206\u20135210 (April 2015). https:\/\/doi.org\/10.1109\/ICASSP.2015.7178964","DOI":"10.1109\/ICASSP.2015.7178964"},{"key":"16_CR10","unstructured":"Povey, D., et al.: The Kaldi speech recognition toolkit. In: IEEE 2011 Workshop on Automatic Speech Recognition and Understanding. IEEE Signal Processing Society (Dec 2011), IEEE Catalog No.: CFP11SRW-USB"},{"issue":"1","key":"16_CR11","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1145\/321796.321811","volume":"21","author":"RA Wagner","year":"1974","unstructured":"Wagner, R.A., Fischer, M.J.: The string-to-string correction problem. J. ACM 21(1), 168\u2013173 (1974). https:\/\/doi.org\/10.1145\/321796.321811 . http:\/\/doi.acm.org\/10.1145\/321796.321811","journal-title":"J. ACM"},{"key":"16_CR12","doi-asserted-by":"crossref","unstructured":"Anguera Mir\u00f3, X., Luque, J., Gracia, C.: Audio-to-text alignment for speech recognition with very limited resources. In: INTERSPEECH. pp. 1405\u20131409 (2014)","DOI":"10.21437\/Interspeech.2014-345"},{"key":"16_CR13","doi-asserted-by":"publisher","unstructured":"Zhang, X., Trmal, J., Povey, D., Khudanpur, S.: Improving deep neural network acoustic models using generalized maxout networks. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 215\u2013219 (May 2014). https:\/\/doi.org\/10.1109\/ICASSP.2014.6853589","DOI":"10.1109\/ICASSP.2014.6853589"}],"container-title":["Lecture Notes in Computer Science","Statistical Language and Speech Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-31372-2_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T01:27:46Z","timestamp":1664501266000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-31372-2_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030313715","9783030313722"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-31372-2_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"27 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SLSP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Statistical Language and Speech Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ljubljana","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Slovenia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"slsp2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/slsp2019.irdta.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"48","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"52% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}