Impact of a Shift-Invariant Harmonic Phase Model in Fully Parametric Harmonic Voice Representation and Time/Frequency Synthesis
| Autor: | João Ricardo Neves da Silva, Francisca Brito, Deepen Sinha, Aníbal Ferreira |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Signal reconstruction Pulse (signal processing) Speech coding 020206 networking & telecommunications 02 engineering and technology Harmonic phase Time–frequency analysis 0202 electrical engineering electronic engineering information engineering Harmonic 020201 artificial intelligence & image processing Invariant (mathematics) Algorithm Parametric statistics |
| Zdroj: | ICASSP |
| DOI: | 10.1109/icassp40776.2020.9054496 |
| Popis: | Harmonic representation models are widely used, notably in speech coding and synthesis. In this paper, we describe two fully parametric harmonic representation and signal reconstruction alternatives that rely on a shift-invariant harmonic phase model and that implement accurate frame-based synthesis in the frequency-domain, and accurate pitch pulse-based synthesis in the time-domain. We use natural spoken and sung voice signals in order to assess the objective and subjective quality of both alternatives when parameters are exact, and when they are replaced by compact and shift-invariant harmonic phase and magnitude approximation models. We highlight the flexibility of these models and present results indicating that not only does the compact shift-invariant phase model cause a smaller impact than that caused by harmonic magnitude modeling, but it also compares favorably to results presented in the literature. |
| Databáze: | OpenAIRE |
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