The full text of this article/chapter:

Speech Period Detection Using Neural Network Classification
by Andrej Vrábel, Gregor Rozinaj
12th International Workshop on Systems, Signals and Image Processing (IWSSIP), Vol. 1, No. 1, 2005
Abstract: The implementation of the Slovak speech synthesizer, based on the TD PSOLA algorithm in the EMU database system [1], has proven the strong relation between accurate pitch period estimation and the quality of synthesized speech. Although the problem of pitch detection is well known for a long time, there has not been developed a method yet, which works well in general. In this work the neural network is used as a statistical classifier, generalizing outputs of various pitch detection algorithms. Further it describes its usage in the text-to-speech syn-thesizer and discusses achieved results.

is only available to individual subscribers or to users at subscribing institutions.

Pay per view: If you are not a Subscriber and you just want to read the full contents of this article, please click here to purchase online access to the full-text of this article. Please allow 3 days + mailing time. Current price for article is US$38.00

Members of the Editorial Board or subscribers of the 12th International Workshop on Systems, Signals and Image Processing (IWSSIP), that have been redirected here, please click here if you have IP-authentication access, or check if you have a registered username/password subscription with Inderscience. If that is the case, please Login:

    Username:        Password:         Forgotten your Password?