In order to prove the potential power of "learning by examples" paradigm for problems of Automatic Speech Recognition, an experiment was set up, regarding an extremely difficult Italian phonetic recognition problem:
the automatic discrimination of the so called Italian alphabet i-set:
/1311, /tSi/, /di/, /dZi/, ill, /pi/, /ti/, lvi/
plus
other two i-like stimuli /LI/, /si/.
The achieved speaker independent mean recognition rate was around 65%, but either better results are expected at the end of the experiments going on.
Publication type:
Contributo in atti di convegno
Publisher:
Priority Printing, Edmonton, CAN
Source:
Proceedings ICSLP-92, International Conference on Spoken Language Processing, pp. 1335–1338, Banff, Alberta, Canada, October 12-16, 1992
Date:
1992
Resource Identifier:
http://www.cnr.it/prodotto/i/241638
http://www.researchgate.net/publication/221478998_Phonetic_recognition_experiments_with_recurrent_neural_networks
urn:isbn:0-88864-806-5
Language:
Eng
ISTC Author:
Real name: