ISCA Archive ICSLP 1994
ISCA Archive ICSLP 1994

A neural network for phonetically decoding the speech trace

Victoria Rodellar, Victor Nieto, Pedro Gomez, Daniel Martinez, M. Mercedes Perez

A Time-Delay Neural Network to decode Speech Traces into Phoneme Codes in Real time is presented. Such network associates traces of LPC Spectral Parameters with strings of 8-bit Phonetic Codes from a Phonetic Encoding Scheme, which is also presented. The LPC Adaptive Parameter Extractor and the Time-Delay Neural Network may be easily integrated under a common recursive loop in the Time Domain, allowing a fast implementation in VLSI with small memory requirements, which convert this hybrid structure in a powerful Phoneme Spotter, to be used in Speech Recognition or in the Assesment of the Speech Trace. A set of experiments is presented to show the ability of the Neural Network to determine the most significant elements in the LPC vectors from several speakers.


Cite as: Rodellar, V., Nieto, V., Gomez, P., Martinez, D., Perez, M.M. (1994) A neural network for phonetically decoding the speech trace. Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994), 1575-1578

@inproceedings{rodellar94b_icslp,
  author={Victoria Rodellar and Victor Nieto and Pedro Gomez and Daniel Martinez and M. Mercedes Perez},
  title={{A neural network for phonetically decoding the speech trace}},
  year=1994,
  booktitle={Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994)},
  pages={1575--1578}
}