Transitional speech segments modeling by matching pursuit with a dictionary based on the psychoacoustic adaptive WP
نویسندگان
چکیده
In this paper transitional speech segments modeling by matching pursuit is proposed. The dictionary for matching pursuit is composed of wavelet functions that implement of psychoacoustic adaptive wavelet filter bank. Psychoacoustically motivated entropy based cost functions allow to greatly minimizing a number of time-frequency atoms in wavelet packet (WP) dictionary. The given transient modeling method is suitable to be integrated into a parametric speech coder or concatenate speech synthesis based on the three-part model of sinusoidal, transients and noise.
منابع مشابه
Sinusoidal modeling of audio and speech using psychoacoustic-adaptive matching pursuits
In this paper, we propose a segment-based matching pursuit algorithm where the psychoacoustical properties of the human auditory system are taken into account. Rather than scaling the dictionary elements according to auditory perception, we define a psychoacoustic-adaptive norm on the signal space which can be used for assigning the dictionary elements to the individual segments in a rate-disto...
متن کاملSpeech Enhancement using Adaptive Data-Based Dictionary Learning
In this paper, a speech enhancement method based on sparse representation of data frames has been presented. Speech enhancement is one of the most applicable areas in different signal processing fields. The objective of a speech enhancement system is improvement of either intelligibility or quality of the speech signals. This process is carried out using the speech signal processing techniques ...
متن کاملA New Method for Speech Enhancement Based on Incoherent Model Learning in Wavelet Transform Domain
Quality of speech signal significantly reduces in the presence of environmental noise signals and leads to the imperfect performance of hearing aid devices, automatic speech recognition systems, and mobile phones. In this paper, the single channel speech enhancement of the corrupted signals by the additive noise signals is considered. A dictionary-based algorithm is proposed to train the speech...
متن کاملSpeech Signal Compressed Sensing Based on K- Svd Adaptive Dictionary
This paper proposes a novel and successful method for speech signal compressed sensing based on KSingular Value Decomposition (K-SVD) algorithm. K-SVD is an iterative method that alternates between sparse representation of the train samples based on the current dictionary and a process of updating the dictionary atoms to better fit the speech data. The presented K-SVD algorithm is applied here ...
متن کاملPMU-Based Matching Pursuit Method for Black-Box Modeling of Synchronous Generator
This paper presents the application of the matching pursuit method to model synchronous generator. This method is useful for online analysis. In the proposed method, the field voltage is considered as input signal, while the terminal voltage and active power of the generator are output signals. Usually, the difference equation with a second degree polynomial structure is used to estimate the co...
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