Abstract
In this paper, the source-filter model of speech production is adapted to represent the speech signal as the superposition and convolution of a dynamic source and resonant modes. The aim is to increase the resolution of the time-instantaneous-frequency representation of each of the individual contributions of different sections of the human phonatory system. We present a framework based on dynamic mode predictors and filters, which are adapted, using gradient-based techniques, to track the modal dynamics of speech yielding a representation which is free from quasi-stationary assumptions thus allowing flexible manipulation of the speech signal. Several examples are offered including intonation modifications to illustrate the potential of the proposed approach.
Original language | English |
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Pages (from-to) | 2566-2578 |
Number of pages | 13 |
Journal | IEEE Transactions on Audio, Speech, and Language Processing |
Volume | 19 |
Issue number | 8 |
DOIs | |
Publication status | Published - Nov 2011 |