Method and apparatus for converting text into audible signals us

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

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G10L 506

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active

056689268

ABSTRACT:
Text may be converted to audible signals, such as speech, by first training a neural network 106 using recorded audio messages 204. To begin the training, the recorded audio messages are converted into a series of audio frames 205 having a fixed duration 213. Then, each audio frame is assigned a phonetic representation 203 and a target acoustic representation 208, where the phonetic representation 203 is a binary word that represents the phone and articulation characteristics of the audio frame, while the target acoustic representation 208 is a vector of audio information such as pitch and energy. After training, the neural network 106 is used in conversion of text into speech. First, text that is to be convened is translated to a series of phonetic frames 401 of the same form as the phonetic representations 208 and having the fixed duration 213. Then the neural network produces acoustic representations in response to context descriptions 207 that include some of the phonetic frames 401. The acoustic representations are then converted into a speech wave form by a synthesizer 107.

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Weijters et al, "Speech Synthesis with Artificial Neural Networks", Int'l Conf on Acoustics, Speech & Signal Processing, Mar. 28-Apr. 1, 1993, pp. 1764-1769 vol. 1.
Scordilis et al, "Text Processing for Speech Synthesis Using Parallel Distributed Models", 1989 IEEE Proc, Apr. 9-12 1989, pp. 765-769 vol. 2.
Tuerk et al, "The Development of a Connectionist Multiple Voice Text-to-Speech System", Int'l Conf on Acoustics Speech & Signal Processing, May 14-17 1991 pp. 749-752 vol. 2.
"Speech Synthesis with Artificial Neural Networks"; Ton Weijters, Johan Thole 1993 IEEE International Conference on Neural Networks, San Francisco, CA Mar. 28-Apr. 1, vol. 3, pp. 1264-1269.

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