Efficient quantization of LSF parameters based on temporal decomposition

نویسندگان

  • Sung-Joo Kim
  • Sangho Lee
  • Woo-Jin Han
  • Yung-Hwan Oh
چکیده

In this paper, we present a restricted temporal decomposition method for LSF parameters. The event vectors estimated by this method preserve the ordering property of LSF parameters so that they can be quantized efficiently. Experimental results show that interpolated LSF parameters can be quantized transparently at the rate of 753 bps. We also design a LPC vocoder at 996 bps as an application of the proposed method. According to a listening test, the reconstructed speech of our vocoder has reasonable quality compared with 2400 bps LPC10e.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Efficient quantization of speech excitation parameters using temporal decomposition

In this paper, we investigate the application of temporal decomposition (TD) technique to describe the temporal patterns of speech excitation parameter contours, i.e. gain, pitch, and voicing. We use a common set of event functions to describe the temporal structure of both spectral and excitation parameters, and then quantize them. Experimental results show that each speech excitation paramete...

متن کامل

Quantization of LSF parameters using a trellis modeling

An efficient Block-based Trellis Quantization (BTQ) scheme is proposed for the quantization of the Line Spectral Frequencies (LSF) in speech coding applications. The scheme is based on the modeling of the LSF intraframe dependencies with a trellis structure. The ordering property and the fact that LSF parameters are bounded within a range is explicitly incorporated in the trellis model. BTQ sea...

متن کامل

Quantization of LSF Parameters Using A Trellis Modelling

An efficient Block-based Trellis Quantization (BTQ) scheme is proposed for the quantization of the Line Spectral Frequencies (LSF) in speech coding applications. The scheme is based on the modelling of the LSF intraframe dependencies with a trellis structure. The ordering property and the fact that LSF parameters are bounded within a range is explicitly incorporated in the trellis model. BTQ se...

متن کامل

Efficient distance measure for quantization of LSF and its Karhunen-Loeve transformed parameters

This paper presents a new distance measure that is based on the spectral sensitivity of the line spectrum frequency parameters (LSFs) and its Karhunen–Loeve (KL) transformed coefficients. It is shown that the proposed distance measure achieves better performance of vector quantization (VQ) compared to other methods in the field of LSF coding. In most cases, the percentage of outliers is reduced...

متن کامل

PDF-optimized LSF vector quantization based on beta mixture models

The line spectral frequencies (LSF) are known to be the most efficient representation of the linear predictive coding (LPC) parameters from both the distortion and perceptual point of view. By considering the bounded property of the LSF parameters, we apply beta mixture models (BMM) to model the distribution of the LSF parameters. Meanwhile, by following the principles of probability density fu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998