https://libeldoc.bsuir.by/handle/123456789/34756| Title: | Spectrum estimation of speech: coding and feature extraction |
| Authors: | Taha, M. Azarov, E. S. |
| Keywords: | материалы конференций;linear prediction;speech coding;spectrum estimation |
| Issue Date: | 2019 |
| Publisher: | БГУИР |
| Citation: | Taha, M. Spectrum estimation of speech: coding and feature extraction / M. Taha, E. S. Azarov // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : сборник материалов V Международной научно-практической конференции, Минск, 13–14 марта 2019 г. В 2 ч. Ч. 1 / Белорусский государственный университет информатики и радиоэлектроники; редкол. : В. А. Богуш [и др.]. – Минск, 2019. – С. 66 – 72. |
| Abstract: | Speech analysis and spectrum estimation has been the fundamental problem of digital signal processing for recent decades. The problem still has a huge practical impact on modern speech processing applications that involve coding and deep learning. The paper reviews the main speech spectral estimation techniques including linear prediction and cepstrum. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/34756 |
| Appears in Collections: | BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2019) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Taha_Spectrum.PDF | 933.48 kB | Adobe PDF | View/Open |
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