Title :
Scaly artificial neural networks for speaker-independent recognition of isolated words
Author :
Krause, Andreas ; Hackbarth, Heidi
Author_Institution :
Stand. Elektrik Lorenz AG, Stuttgart, West Germany
Abstract :
Artificial neural networks were investigated as an approach to speaker-independent recognition of isolated words from a variable-size vocabulary. A scaly pattern of connecting links between the input and hidden layer was established within a strict feed-forward wiring structure. The amount of training material and vocabulary size as well as the choice of network dimensions, such as the number of layers and input and hidden units, are discussed. Experimental results are reported and compared to the recognition performance obtained with a fully connected layered network. Error rates lower than 5% for vocabularies with up to 20 words suggest that appropriately designed artificial neural networks are well suited for a speaker-independent recognition task
Keywords :
neural nets; speech recognition; artificial neural networks; feed-forward wiring structure; isolated word recognition; network dimensions; scaly pattern; speaker-independent recognition; speech recognition; training material; variable-size vocabulary; Artificial neural networks; Error analysis; Feedforward systems; Hidden Markov models; Joining processes; Neural networks; Speech; Testing; Vocabulary; Wiring;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266353
