Accent classification from an emotional speech in clean and noisy environments
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13236-w.pdf
Reference51 articles.
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2. Angkititrakul P, Hansen JHL (2006) Advances in phone-based modeling for automatic accent classification. IEEE Trans Audio Speech Lang Process 14(2):634–646
3. Cao H, Cooper DG, Keutmann MK, Gur RC, Nenkova A, Verma R (2014) CREMA-D: Crowd-sourced emotional multimodal actors dataset. IEEE Trans Affect Comput 5(4):377–390
4. Chen M, Yang Z, HZWL (2014) Improving native accent identification using deep neural networks. In: INTERSPEECH, pp 2170–2174
5. Chen M, Yang Z, Liang J, Li Y, Liu W (2015) Improving deep neural networks based multi-accent Mandarin speech recognition using i-vectors and accent-specific top layer. In: INTERSPEECH
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