Speech Synthesis Based on a Physiological Articulatory Model
نویسندگان
چکیده
In this paper, a framework for speech synthesis is proposed to realize the process of speech production of human, which is based on a physiological articulatory model. Within this framework, it begins with given articulatory targets, then muscle activation patterns are estimated according to the targets by accounting for both the equilibrium characteristics and muscle dynamics, consequently, the articulatory model is driven to generate a time-varying vocal tract shape corresponding to the targets by contracting the corresponding muscles. Thereafter, a transmission line model is implemented for the time-varying vocal tract to produce speech sound. At last, a primary experiment is carried out to synthesize the single vowels and diphthongs of Chinese with the physiological articulatory model based synthesizer. The result shows that the spectra of the synthetic sound for single vowels are consistent with those of the real speech, and proper acoustic characteristics are obtained in most cases for diphthongs.
منابع مشابه
Implement of Coarticulation in Physiological Articulatory Model
One of the fundamental issues to achieve a speech synthesizer using a physiological articulatory model is the implementation of coarticulation. This study focuses on the coarticulation occurred in the target planning stage, and proposes a “carrier model” to realize the coarticulation mechanism. Simulation results show that the carrier model demonstrates a good performance to account for the coa...
متن کاملOne-model speech recognition and synthesis based on articulatory movement HMMs
One-model speech recognition (SR) and speech synthesis (SS) based on a common articulatory movement model are described herein. The SR engine has an articulatory feature (AF) extractor and an HMM based classifier that models articulatory gestures. Experimental results of a phoneme recognition task show that the AF outperforms MFCC even if the training data are limited to a single speaker. In th...
متن کاملVowel Creation by Articulatory Control in HMM-based Parametric Speech Synthesis
Hidden Markov model (HMM)-based parametric speech synthesis has become a mainstream speech synthesis method in recent years. This method is able to synthesise highly intelligible and smooth speech sounds. In addition, it makes speech synthesis far more flexible compared to the conventional unit selection and waveform concatenation approach. Several adaptation and interpolation methods have been...
متن کاملThe Organization of a Neurocomputational Control Model for Articulatory Speech Synthesis
The organization of a computational control model of articulatory speech synthesis is outlined in this paper. The model is based on general principles of neurophysiology and cognitive psychology. Thus it is based on such neural control circuits, neural maps and mappings as are hypothesized to exist in the human brain, and the model is based on learning or training mechanisms similar to those oc...
متن کاملFeature-Space Transform Tying in Unified Acoustic-Articulatory Modelling for Articulatory Control of HMM-Based Speech Synthesis
In previous work, we have proposed a method to control the characteristics of synthetic speech flexibly by integrating articulatory features into hidden Markov model (HMM) based parametric speech synthesis. A unified acoustic-articulatory model was trained and a piecewise linear transform was adopted to describe the dependency between these two feature streams. The transform matrices were train...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006