Waveform based speech coding using nonlinear predictive techniques: a systematic review

Speech coding is a technique that compresses speech signals into a smaller digital form, making it easier to transmit or store, while still maintaining the quality and intelligibility of the speech. The review aimed to identify and analyses the most effective waveform-based nonlinear speech coding p...

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Vydáno v:	International journal of speech technology Ročník 26; číslo 4; s. 1031 - 1059
Hlavní autoři:	Sheferaw, Gebremichael Kibret, Mwangi, Waweru, Kimwele, Michael, Mamuye, Adane
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.12.2023 Springer Nature B.V
Témata:	Adaptive algorithms Algorithms Artificial Intelligence Coding Computer science Criteria Data quality Engineering Extraction Intelligibility Measurement Networks Neural networks Nonlinearity Polynomials Predictions Quality assessment Recurrent neural networks Selection criteria Signal,Image and Speech Processing Social Sciences Speech Speech compression Systematic review Topology Waveforms Waveform Systematic review Nonlinear Speech coding Neural network Prediction
ISSN:	1381-2416, 1572-8110
On-line přístup:	Získat plný text
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