Detail publikace

Endpoint Detection in the Continuous Speech Using the Neural Networks

Originální název

Endpoint Detection in the Continuous Speech Using the Neural Networks

Anglický název

Endpoint Detection in the Continuous Speech Using the Neural Networks

Jazyk

en

Originální abstrakt

This paper deals with a problematic of endpoint detection in a continuous speech. A back-propagation neural network was used to recognise "non-speech" frames of the speech signal. Some different sets of features were extracted from the speech signal to serve the purpose of the endpoint detection and the results of the experiments were summarised.

Anglický abstrakt

This paper deals with a problematic of endpoint detection in a continuous speech. A back-propagation neural network was used to recognise "non-speech" frames of the speech signal. Some different sets of features were extracted from the speech signal to serve the purpose of the endpoint detection and the results of the experiments were summarised.

BibTex


@inproceedings{BUT13968,
  author="Filip {Orság} and František {Zbořil}",
  title="Endpoint Detection in the Continuous Speech Using the Neural Networks",
  annote="This paper deals with a problematic of endpoint detection in a continuous speech. A back-propagation neural network was used to recognise "non-speech" frames of the speech signal. Some different sets of features were extracted from the speech signal to serve the purpose of the endpoint detection and the results of the experiments were summarised.",
  booktitle="Proceedings of 37th International Conference MOSIS´03 Modelling and Simulation of Systems",
  chapter="13968",
  year="2003",
  month="april",
  pages="10--16",
  type="conference paper"
}