{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:16:04Z","timestamp":1750220164698,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":8,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,8,4]],"date-time":"2022-08-04T00:00:00Z","timestamp":1659571200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"JSPS KAKENHI","award":["18H03266"],"award-info":[{"award-number":["18H03266"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,4]]},"DOI":"10.1145\/3556384.3556399","type":"proceedings-article","created":{"date-parts":[[2022,10,29]],"date-time":"2022-10-29T10:51:35Z","timestamp":1667040695000},"page":"94-100","source":"Crossref","is-referenced-by-count":1,"title":["An Investigation of Feature Difference Between Child and Adult Voices Using Line Spectral Pairs"],"prefix":"10.1145","author":[{"given":"Ginji","family":"Hayashi","sequence":"first","affiliation":[{"name":"Graduate School of Science and Engineering, Doshisha University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shigeru","family":"Katagiri","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Engineering, Doshisha University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xugang","family":"Lu","sequence":"additional","affiliation":[{"name":"Universal Communication Research Institute, National Institute of Information and Communications Technology, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miho","family":"Ohsaki","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Engineering, Doshisha University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,29]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Experimental Evaluation of Minimum Classification Error Training with Speech Synthesis-Based Regularization of Children\u2019s Spoken Words. Graduation thesis","author":"Takeuchi Y.","year":"2019","unstructured":"[ 1 ] Y. Takeuchi . Experimental Evaluation of Minimum Classification Error Training with Speech Synthesis-Based Regularization of Children\u2019s Spoken Words. Graduation thesis , Doshisha University of Science and Engineering , February , 2019 . [1] Y. Takeuchi. Experimental Evaluation of Minimum Classification Error Training with Speech Synthesis-Based Regularization of Children\u2019s Spoken Words. Graduation thesis, Doshisha University of Science and Engineering, February, 2019."},{"key":"e_1_3_2_1_2_1","volume-title":"Minimum Classification Error Training with Speech Synthesis-based Regularization for Speech Recognition. International Conference on Signal Processing and Machine Learning (SPML)","author":"Umezaki N.","year":"2019","unstructured":"[ 2 ] N. Umezaki , T. Okubo , H. Watanabe , S. Katagiri , M. Osaki . Minimum Classification Error Training with Speech Synthesis-based Regularization for Speech Recognition. International Conference on Signal Processing and Machine Learning (SPML) , November , 2019 . [2] N. Umezaki, T. Okubo, H. Watanabe, S. Katagiri, M. Osaki. Minimum Classification Error Training with Speech Synthesis-based Regularization for Speech Recognition. International Conference on Signal Processing and Machine Learning (SPML), November, 2019."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1121\/1.1995189"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1982.1171426"},{"key":"e_1_3_2_1_5_1","unstructured":"[\n  5\n  ]  ITU-T Rec. G.729. Coding of Speech at 8 kbit\/s Using Conjugate Structure Algebraic Code Excited Linear Prediction (CS-ACELP).  [5] ITU-T Rec. G.729. Coding of Speech at 8 kbit\/s Using Conjugate Structure Algebraic Code Excited Linear Prediction (CS-ACELP)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/29.60082"},{"key":"e_1_3_2_1_7_1","unstructured":"[\n  7\n  ]  https:\/\/doi.org\/10.32130\/src.ETL-WD    10.32130\/src.ETL-WD\n[7] https:\/\/doi.org\/10.32130\/src.ETL-WD"},{"key":"e_1_3_2_1_8_1","unstructured":"[\n  8\n  ]  https:\/\/doi.org\/10.32130\/src.JWC    10.32130\/src.JWC\n[8] https:\/\/doi.org\/10.32130\/src.JWC"}],"event":{"name":"SPML 2022: 2022 5th International Conference on Signal Processing and Machine Learning","acronym":"SPML 2022","location":"Dalian China"},"container-title":["2022 5th International Conference on Signal Processing and Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3556384.3556399","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3556384.3556399","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:32Z","timestamp":1750186832000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3556384.3556399"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,4]]},"references-count":8,"alternative-id":["10.1145\/3556384.3556399","10.1145\/3556384"],"URL":"https:\/\/doi.org\/10.1145\/3556384.3556399","relation":{},"subject":[],"published":{"date-parts":[[2022,8,4]]}}}