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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Minami, Y. Kameoka, H. |
| Copyright Year | 2009 |
| Description | Author affiliation: NTT Communication Science Laboratories, NTT Corporation, 2-4, Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan (Minami, Y.; Kameoka, H.) |
| Abstract | This paper shows a unified model of dynamical systems in speech processing that includes speech recognition and pitch modeling. For this purpose, we propose the use of switching acausal filters (SAFs), which exchange multiple acausal filters. These filters are defined by identical linear dynamical systems that exchange the roles of observation value and system input. This paper describes the formulation of recognition, training, and feature generation methods for SAFs, which can be applied to several previously proposed speech models. As an example, we show that an HMM with dynamic features and our F0 control method can be modeled by the proposed formulation. An HMM synthesis method can also be modeled using the formulations. From these results, we demonstrate the unification capability of SAFs. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1091996 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424449477 |
| ISSN | 15512541 |
| DOI | 10.1109/MLSP.2009.5306185 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-01 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hidden Markov models Speech recognition Speech processing Nonlinear filters Speech synthesis Equations Signal processing algorithms Communication switching Switches Laboratories Kalman filter Acausal filter HMM delta features delta-delta features |
| Content Type | Text |
| Resource Type | Article |
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