Speech analysis and synthesis based on dynamic modes

Julio Vargas, Stephen McLaughlin

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


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 languageEnglish
Pages (from-to)2566-2578
Number of pages13
JournalIEEE Transactions on Audio, Speech, and Language Processing
Issue number8
Publication statusPublished - Nov 2011


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