| DC Field | Value | Language |
|---|
| dc.contributor.author | Taha, M. | - |
| dc.contributor.author | Azarov, E. S. | - |
| dc.date.accessioned | 2019-03-19T12:40:59Z | - |
| dc.date.available | 2019-03-19T12:40:59Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.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. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/34756 | - |
| dc.description.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. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | linear prediction | ru_RU |
| dc.subject | speech coding | ru_RU |
| dc.subject | spectrum estimation | ru_RU |
| dc.title | Spectrum estimation of speech: coding and feature extraction | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2019)
|
