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Accurate Power Spectrum Estimation of Speech with Spectrum Compensation Based on Prediction Error Filtering
| Content Provider | Semantic Scholar |
|---|---|
| Author | Rahman, Arifour Sugiura, Yosuke Shimamura, Tetsuya |
| Copyright Year | 2017 |
| Abstract | This paper proposes a linear prediction (LP) method to estimate accurately the original power spectrum of the input speech signal. A prediction error filter (PEF) is used as a pre-processor, and the LP based power spectrum estimation is compensated by the frequency characteristics of the designed PEF. Through experiments on synthetic vowels, we show that the proposed spectrum compensation method can estimate the power spectrum more accurately than the direct and pre-emphasis LP methods. |
| File Format | PDF HTM / HTML |
| Volume Number | 13 |
| Alternate Webpage(s) | http://www.wseas.org/multimedia/journals/signal/2017/a065814-084.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
