Publication detail

Endpoint Detection in the Continuous Speech Using the Neural Networks

ORSÁG, F., ZBOŘIL, F.

Original Title

Endpoint Detection in the Continuous Speech Using the Neural Networks

English Title

Endpoint Detection in the Continuous Speech Using the Neural Networks

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

recognition, speech, endpoint, detection, neural, network

RIV year

2003

Released

29.04.2003

Location

Ostrava

ISBN

80-85988-86-0

Book

Proceedings of 37th International Conference MOSIS´03 Modelling and Simulation of Systems

Pages from

10

Pages to

16

Pages count

7

URL

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"
}