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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rabiner, L. Wilpon, J. Juang, B. |
| Copyright Year | 1987 |
| Description | Author affiliation: AT&T Bell Laboratories, Murray Hill, New Jersey (Rabiner, L.) |
| Abstract | In this paper we discuss a system for automatically recognizing fluently spoken digit strings based on whole word reference units. The system that we will describe can use either hidden Markov model (HMM) technology or template-based technology. The training procedure derives the digit reference patterns (either templates or statistical models) from connected digit strings. To evaluate the performance of the overall connected digit recognizer, a set of 50 people (25 men, 25 women), from the non-technical local population, was each asked to record 1200 random connected digit strings over local dialed-up telephone lines. Both a speaker trained and a multispeaker training set was created, and a full performance evaluation was made. Results show that the average string accuracy for unknown and known length strings, in the speaker trained mode, was 98% and 99% respectively; in the multi-speaker mode the average string accuracies were 94% and 96.6% respectively. |
| Starting Page | 101 |
| Ending Page | 104 |
| File Size | 141345 |
| Page Count | 4 |
| File Format | |
| DOI | 10.1109/ICASSP.1987.1169631 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1987-04-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech recognition Hidden Markov models Pattern recognition Pattern matching Testing Telephony Speech analysis Linear predictive coding Credit cards Insurance |
| Content Type | Text |
| Resource Type | Article |
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