Pathological voice recognition by deep neural network | IEEE Conference Publication | IEEE Xplore

Pathological voice recognition by deep neural network


Abstract:

The deep neural network(DNN) is used for the identification and classification of pathological voice. Time domain characteristics and frequency domain characteristics are...Show More

Abstract:

The deep neural network(DNN) is used for the identification and classification of pathological voice. Time domain characteristics and frequency domain characteristics are selected. Compared with the traditional recognition algorithm. The result of experimental shows that the DNN method can effectively improve the recognition rate in both normal-pathological voice of vocal cords recognition and pathological voice of vocal cords segmentation.
Date of Conference: 11-13 November 2017
Date Added to IEEE Xplore: 08 January 2018
ISBN Information:
Conference Location: Hangzhou, China

Contact IEEE to Subscribe

References

References is not available for this document.