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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bahler, L.G. Porter, J.E. Higgins, A.L. |
| Copyright Year | 1994 |
| Description | Author affiliation: ITT Aerosp./Commun. Div, San Diego, CA, USA (Bahler, L.G.; Porter, J.E.; Higgins, A.L.) |
| Abstract | This paper describes recent improvements to an algorithm for identifying an unknown voice from a set of known voices using unconstrained speech material. These algorithms compare the underlying probability distributions of speech utterances using a method that is free of assumptions regarding the form of the distributions (e.g., Gaussian, etc.). In comparing two utterances, the algorithms accumulate minimum inter-frame distances between frames of the utterances. In recognition tests on the Switchboard database, using a closed population of speakers, we show that the new algorithm performs substantially better than the baseline algorithm. The modifications are segment-based scoring, limiting likelihood ratio estimates for robustness and estimating biases associated with reference files.< |
| File Size | 185684 |
| File Format | |
| ISBN | 0780317750 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.1994.389291 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-04-19 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Testing Speech Aerospace materials Performance evaluation Mood Stress Distortion measurement Speaker recognition Equations Iterative algorithms |
| Content Type | Text |
| Resource Type | Article |
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