Glove-TalkII-a neural-network interface which maps gestures to parallel formant speech synthesizer controls

TitleGlove-TalkII-a neural-network interface which maps gestures to parallel formant speech synthesizer controls
Publication TypeJournal Article
Year of Publication1998
AuthorsFels, S. S., and G. E. HINTON
JournalNeural Networks, IEEE Transactions on
Pagination205 -212
Date Publishedjan.
Keywordsadaptive interface, artificial vocal tract, consonant production, ContactGlove, Cyberglove, data gloves, feedforward neural nets, foot pedal, gating network, gesture-to-speech task, Glove-TalkII, hand gestures, handicapped aids, learning (artificial intelligence), neural-network interface, parallel formant speech synthesizer controls, speech synthesis, three-space tracker, user interfaces, vowel production

Glove-TalkII is a system which translates hand gestures to speech through an adaptive interface. Hand gestures are mapped continuously to ten control parameters of a parallel formant speech synthesizer. The mapping allows the hand to act as an artificial vocal tract that produces speech in real time. This gives an unlimited vocabulary in addition to direct control of fundamental frequency and volume. Currently, the best version of Glove-TalkII uses several input devices (including a Cyberglove, a ContactGlove, a three-space tracker, and a foot pedal), a parallel formant speech synthesizer, and three neural networks. The gesture-to-speech task is divided into vowel and consonant production by using a gating network to weight the outputs of a vowel and a consonant neural network. The gating network and the consonant network are trained with examples from the user. The vowel network implements a fixed user-defined relationship between hand position and vowel sound and does not require any training examples from the user. Volume, fundamental frequency, and stop consonants are produced with a fixed mapping from the input devices. One subject has trained to speak intelligibly with Glove-TalkII. He speaks slowly but with far more natural sounding pitch variations than a text-to-speech synthesizer


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