Shaping speech
نویسندگان
چکیده
منابع مشابه
New model for speech residual signal shaping with static nonlinearity
In this paper we apply a nonlinear Hammerstein model for speech analysis and coding using frame-based parameter solving. This paper presents a method for calculating the adaptive frame-based coefficients for a Hammerstein model by modifying the residual signal to the desired form. The method is such that the nonlinear and linear coefficients can be obtained without iterations. In experiments th...
متن کاملAdaptive Spectral Shaping Using LP Filter Decomposition to Improve Perceptual Quality of Coded Speech
An adaptive time-domain postfiltering technique based on the synthesis LP filter factorisation is proposed. Information is gathered about the relation between the LP filter poles and formants for this factorisation. This technique shapes the main formant differently from the other formants. Pole locations representing the main formant are modified and optimum shaping constants for each formant ...
متن کاملOn combining frequency warping and spectral shaping in HMM based speech recognition
Frequency warping approaches to speaker normalization have been proposed and evaluated on various speech recognition tasks [1, 2, 3]. These techniques have been found to signi cantly improve performance even for speaker independent recognition from short utterances over the telephone network. In maximum likelihood (ML) based model adaptation a linear transformation is estimated and applied to t...
متن کاملA wavelet based speech enhancement method using noise classification and shaping
Speech enhancement systems performing in Fourier or wavelet domain usually generate musical noise and distortion. It is possible to reduce musical noise and speech distortion by shaping residual noise. In this paper, we propose to implement a noise shaping method for a wavelet based noise reduction system. For noise shaping, we propose a noise classification method based on spectral shape of in...
متن کاملSeeing Speech: Capturing Vocal Tract Shaping Using Real-Time Magnetic Resonance Imaging
U nderstanding human speech production is of great interest from engineering, linguistic, and several other research points of view. While several types of data available to speech understanding studies lead to different avenues for research, in this article we focus on real-time (RT) magnetic resonance imaging (MRI) as an emerging technique for studying speech production. We discuss the detail...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Down Syndrome Research and Practice
سال: 2007
ISSN: 0968-7912,1753-7606
DOI: 10.3104/updates.2050