A generalized sinusoidal model for speech signal process-ing is studied. The main feature of the model is that the am-plitude of each sinusoidal component is allowed to vary ex-ponentially with time. We propose to use the model in tran-sitional speech segments such as speech onsets and voiced/un-voiced transitions. Computer simulations with natural speech signals indicate substantial better modeling performance in both transitional and voiced regions compared with the tra-ditional constant-amplitude sinusoidal model. 1
An improved harmonic sinusoidal model is presented, where the underlying sine wave amplitudes and ph...
This paper presents the derivation of a new perceptual model that represents speech and audio signal...
Sinusoidal vocoders can generate high quality speech, but they have not been extensively applied to ...
This paper will give an overview of the sinusoidal model, its properties, and variations made upon i...
Speech signals contain a fairly rich time-evolving spectral content. Accurate analysis of this time-...
A b s t r a c t An enhanced sinusoidal model, which employs the time-varying amplitudes of three com...
Abstract: One well-known problem with speech synthesis is the occurrence of audible discontinuities ...
In this paper we will describe some new algorithms concerning pitch syncronous analysis, endpoint de...
Time-scale modication of audio signals is a classic digital signal processing problem. While many so...
Abstract. The sinusoidal speech model represents a speech signal as a linear combination of sinusoid...
In many conventional speech enhancement methods, discrete Fourier transformation is used in analysis...
We propose an improved method to model voiced speech signals. First, we describe a method to accurat...
This paper presents methods for independently modifying the time and pitch scale of acoustic signals...
The sinusoidal model of speech signals is usually defined on a “short-term” basis, i.e. on successiv...
In this paper, an algorithm for the concatenation of speech signal segments taken from disjoint utte...
An improved harmonic sinusoidal model is presented, where the underlying sine wave amplitudes and ph...
This paper presents the derivation of a new perceptual model that represents speech and audio signal...
Sinusoidal vocoders can generate high quality speech, but they have not been extensively applied to ...
This paper will give an overview of the sinusoidal model, its properties, and variations made upon i...
Speech signals contain a fairly rich time-evolving spectral content. Accurate analysis of this time-...
A b s t r a c t An enhanced sinusoidal model, which employs the time-varying amplitudes of three com...
Abstract: One well-known problem with speech synthesis is the occurrence of audible discontinuities ...
In this paper we will describe some new algorithms concerning pitch syncronous analysis, endpoint de...
Time-scale modication of audio signals is a classic digital signal processing problem. While many so...
Abstract. The sinusoidal speech model represents a speech signal as a linear combination of sinusoid...
In many conventional speech enhancement methods, discrete Fourier transformation is used in analysis...
We propose an improved method to model voiced speech signals. First, we describe a method to accurat...
This paper presents methods for independently modifying the time and pitch scale of acoustic signals...
The sinusoidal model of speech signals is usually defined on a “short-term” basis, i.e. on successiv...
In this paper, an algorithm for the concatenation of speech signal segments taken from disjoint utte...
An improved harmonic sinusoidal model is presented, where the underlying sine wave amplitudes and ph...
This paper presents the derivation of a new perceptual model that represents speech and audio signal...
Sinusoidal vocoders can generate high quality speech, but they have not been extensively applied to ...