New analysis method for harmonic plus noise model based on time-domain periodicity score
نویسندگان
چکیده
Harmonic plus Noise Model (HNM) is the two-band speech model which assumes the speech signal to be composed of a harmonic part and a noise part. It is very important to determine the reasonable maximum voiced frequency which delimit harmonic and noise parts for highquality synthetic speech. In this paper, a new analysis method for HNM, especially maximum voiced frequency, is proposed, whereby the time-domain periodicity score is calculated for each harmonic band and the band of maximum score is selected for maximum voiced frequency. Moreover, recurrent equation of periodicity score is developed for fast implementation. This method has proven to be robust to the inaccuracy of pitch estimation and the frequency resolution problem in low-pitched speech.
منابع مشابه
Dynamic Harmonic Analysis of Long Term over Voltages Based on Time Varying Fourier series in Extended Harmonic Domain
Harmonics have become an important issue in modern power systems. The widespread penetration of non-linear loads to emerging power systems has turned power quality analysis into an important operation issue under both steady state and transient conditions. This paper employs an Extended Harmonic Domain (EHD) based framework for dynamic analysis of long term analysis over voltages during the tra...
متن کاملPolynomial quasi-harmonic models for speech analysis and synthesis
Harmonic plus noise models have been successfully applied to a broad range of speech processing applications, including, among others, low bit-rate speech coding, and speech restoration and transformation. In conventional methods, the frequencies, the relative phases and the amplitudes of the pitch-harmonic components are assumed to be piecewise constants over an analysis frame. This assumption...
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 کاملHarmonic Modeling of Inrush Current in Core Type Power Transformers Using Hartley Transform
This paper presents a new method for evaluation and simulation of inrush current in various transformers using operational matrices and Hartley transform. Unlike most of the previous works, time and frequency domain calculations are conducted simultaneously. Mathematical equations are first represented to compute the inrush current based on reiteration and then Hartley transform is used to stud...
متن کاملApplication of Single-Frequency Time-Space Filtering Technique for Seismic Ground Roll and Random Noise Attenuation
Time-frequency filtering is an acceptable technique for attenuating noise in 2-D (time-space) and 3-D (time-space-space) reflection seismic data. The common approach for this purpose is transforming each seismic signal from 1-D time domain to a 2-D time-frequency domain and then denoising the signal by a designed filter and finally transforming back the filtered signal to original time domain. ...
متن کامل