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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Min, K. Chien, D. Li, S. Jones, C. |
| Copyright Year | 1988 |
| Description | Author affiliation: Dept. of Phys., East Texas State Univ., Commerce, TX, USA (Min, K.; Chien, D.; Li, S.; Jones, C.) |
| Abstract | An algorithm designed to improve results for separating two voices simultaneously recorded on a single channel is presented. A variable frame size orthogonal transform and a spectral matching technique are used. A multistep pitch detection scheme is proposed which includes a traditional autocorrelation function, a modified autocorrelation, the average magnitude difference function, and a look-forward and look-backward double checking scheme. The orthogonal transforms utilized include the fast Fourier transform and the fast triangular transform. For a variable frame size transform, a prime factor fast Fourier transform has been developed. The execution of the process is automated and implemented on the IBM-PC, VAX 8650, and HP 9000. Intelligibility tests using simple quantitative measures have been performed on the separated signals. An extension of the problem to the three-speaker case is reported.< |
| Starting Page | 537 |
| Ending Page | 540 |
| File Size | 399233 |
| Page Count | 4 |
| File Format | |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.1988.196639 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1988-04-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fast Fourier transforms Signal processing Speech enhancement Speech processing Testing Feature extraction Physics Business Algorithm design and analysis EMTP |
| Content Type | Text |
| Resource Type | Article |
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