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Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones
Abstract
Abstract We review in a common framework several algorithms that have been proposed recently, in order to improve the voice quality of a text-to-speech synthesis based on acoustical units concatenation (Charpentier and Moulines, 1988; Moulines and Charpentier, 1988; Hamon et al., 1989). These algorithms rely on a pitch-synchronous overlap-add (PSOLA) approach for modifying the speech prosody and concatenating speech waveforms. The modifications of the speech signal are performed either in the frequency domain (FD-PSOLA), using the Fast Fourier Transform, or directly in the time domain (TD-PSOLA), depending on the length of the window used in the synthesis process. The frequency domain approach is capable of a great flexibility in modifying the spectral characteristics of the speech signal, while the time domain approach provides very efficient solutions for the real time implementation of synthesis systems. We also discuss the different kinds of distortions involved in these different algorithms.
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“Standard time-domain TSM methods, such as the synchronized overlap-add (SOLA) [15], the waveform-similarity overlap-add [16], and the pitch-synchronous overlap-add [17] techniques, are considered to provide high-quality TSM for quasi-harmonic signals.”
From Audio Time Stretching Using Fuzzy Classification of Spectral Bins (2017) · cites this paper as [17]
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Speech Analysis Synthesis and Perception
Flanagan, J. L. (1972) · doi:10.1007/978-3-662-01562-9 · Cited by 1,469
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“There are two main approaches to realize the speech synthesis part; non-parametric, example-based approach known as concatenative speech synthesis (Moulines & Charpentier, 1990; Sagisaka et al., 1992; Hunt & Black, 1996), and parametric, model-based approach known as statistical parametric speech…”
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Metadata
- Authors
- Moulines, E., & Charpentier, F.
- Venue
- Speech Communication
- Publisher
- Elsevier BV
- Published
- 1990-12
- Volume
- 9
- Issue
- 5-6
- Pages
- 453-467
- ISSN
- 0167-6393 (ISSN-L)
- OpenAlex
- W2428180336
- Cited by
- 1,244
- References
- 1
- FWCI
- 8.70
- Type
- journal article
- Language
- en
- Open access
- closed
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