The Centre for Speech Technology Research, The university of Edinburgh

Publications by Joachim Fainberg

[1] Joachim Fainberg, Peter Bell, Mike Lincoln, and Steve Renals. Improving children's speech recognition through out-of-domain data augmentation. In Proc. Interspeech, San Francisco, USA, September 2016. [ bib | .pdf ]
Children’s speech poses challenges to speech recognition due to strong age-dependent anatomical variations and a lack of large, publicly-available corpora. In this paper we explore data augmentation for children’s speech recognition using stochastic feature mapping (SFM) to transform out-of-domain adult data for both GMM-based and DNN-based acoustic models. We performed experiments on the English PF-STAR corpus, augmenting using WSJCAM0 and ABI. Our experimental results indicate that a DNN acoustic model for childrens speech can make use of adult data, and that out-of-domain SFM is more accurate than in-domain SFM.