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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sheikhzadeh, H. Brennan, R.L. Sameti, H. |
| Copyright Year | 1995 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada (Sheikhzadeh, H.) |
| Abstract | We describe our recent work on the real-time implementation of a state-of-the-art HMM-based MMSE speech enhancement algorithm, where our earlier published algorithm has been approximated, optimized, and simplified. The key innovations enabling the enhancement system to run in real-time are: (1) an algorithm for automatic selection of the noise model, (2) pruning the MMSE forward calculations, (3) a new pause detection method useable for a SNR down to 0 dB, and (4) task partitioning of the entire system. A preliminary version of the real-time enhancement system is simulated on the IBM-PC 486DX2/66 and at the same time implemented on a DSP platform based on dual TMS320C30 DSP chips using single precision floating point arithmetic. |
| Starting Page | 808 |
| Ending Page | 811 |
| File Size | 352086 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780324315 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.1995.479817 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-05-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hidden Markov models Speech enhancement Auditory system Working environment noise Signal processing algorithms Real time systems Digital signal processing chips Partitioning algorithms Wiener filter Digital signal processing |
| Content Type | Text |
| Resource Type | Article |
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