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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Farani, A.A.S. Chilton, E.H.S. Shirley, R. |
| Copyright Year | 1998 |
| Description | Author affiliation: Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK (Farani, A.A.S.) |
| Abstract | A new system for speech visualisation, has been implemented to allow deaf and hearing-impaired people to understand verbal information over channels such as the ordinary public telephone system. Incorporating a computational model of the human ear, the system converts incoming sounds into a sequence of animated images, which show the temporal variations of the spectral pattern of the input sound in real-time and which are perceived like visual gestures. Preliminary results from forced-choice tests with 28 human subjects are reported, using a sequence of 2- to 4-word sets. To demonstrate the language independence of this approach, some of these were taken from 4 very different languages-English, Persian, French and Czech. The results show high levels of recognition after only 10 learning trials (typical mean scores of 50-85%, where zero represents chance expectation), and encourage further investigation. |
| Starting Page | 537 |
| Ending Page | 540 |
| File Size | 586846 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780350731 |
| DOI | 10.1109/TFSA.1998.721480 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-10-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spectrogram Humans Natural languages Speech Visualization Deafness Telephony Computational modeling Ear Image converters |
| Content Type | Text |
| Resource Type | Article |
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