{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:27:23Z","timestamp":1740202043581,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>In this paper, we investigate using different types of neural networks for age and gender identification from children's speech, based on the Corpus of Estonian Adolescent Speech. Feed-forward deep neural networks using i-vectors as input are compared with recurrent neural networks using MFCCs as input. Results show that feed-forward neural networks outperform recurrent neural networks for gender classification, while a model that combines both i-vectors and MFCC via feed-forward and recurrent branches achieve the best performance for age group classification. We also show that for age group classification, it is beneficial to first identify gender and then use a gender-specific age identification model. Experiments with human listeners show that the neural network models outperform humans on both tasks by a big margin.<\/jats:p>","DOI":"10.3233\/978-1-61499-912-6-104","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:27:24Z","timestamp":1740133644000},"source":"Crossref","is-referenced-by-count":0,"title":["Speech-Based Identification of Children's Gender and Age with Neural Networks"],"prefix":"10.3233","author":[{"family":"Piel Leo Kristopher","sequence":"additional","affiliation":[]},{"family":"Alum&auml;e Tanel","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Human Language Technologies &amp;ndash; The Baltic Perspective"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T11:02:29Z","timestamp":1740135749000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-911-9&spage=104&doi=10.3233\/978-1-61499-912-6-104"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-912-6-104","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]}}}