Exploration of temporal processing of a sequential network for speech parameter estimation

Haiyan Ye; Shengrui Wang; Gerard Bailly; Francois Robert

doi:10.1117/12.21207

1 August 1990 Exploration of temporal processing of a sequential network for speech parameter estimation

Haiyan Ye, Shengrui Wang, Gerard Bailly, Francois Robert

Proceedings Volume 1294, Applications of Artificial Neural Networks; (1990) https://doi.org/10.1117/12.21207
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

In this paper, we present a study of temporal information processing using a recurrent network and speech data. The task of this neural network is the formant tracking of continuous speech, a classical but difficult problem in speech processing. For better analysis of the results, this task is divided into two sub-tasks: a qualitative task (formant presence detection) and a quantitative task (formant frequency calculation). The network performs quite well for the qualitative task (91% detection) but not as well for the quantitative task (65% of correct estimation). Future work direction is discussed and several questions raised at the end of the paper.

Citation Download Citation

Haiyan Ye, Shengrui Wang, Gerard Bailly, and Francois Robert "Exploration of temporal processing of a sequential network for speech parameter estimation", Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); https://doi.org/10.1117/12.21207

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