HypernasalityNet: Deep recurrent neural network for automatic hypernasality detection

Author:

Wang Xiyue,Yang Sen,Tang Ming,Yin Heng,Huang Hua,He Ling

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics

Reference57 articles.

1. Cleft lip and palate and related factors: a 10 years study in university hospitalised patients at Mashhad — Iran;Morteza;Afr. J. Paed. Surg.: AJPS,2015

2. Acoustic analysis and detection of hypernasality using a group delay function;Vijayalakshmi;IEEE Trans. Biomed. Eng.,2007

3. Automatic detection of hypernasality in children;Rendón;International Work-Conference on the Interplay Between Natural and Artificial Computation,2011

4. Selective pole modification-based technique for the analysis and detection of hypernasality;Vijayalakshmi;TENCON 2009-2009 IEEE Region 10 Conference,2009

5. Dimensionality reduction of a pathological voice quality assessment system based on Gaussian mixture models and short-term cepstral parameters;Godino-Llorente;IEEE Trans. Biomed. Eng.,2006

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