Recovering of broadband reverberant speech signal by sub-band MINT method

Abstract-Equalization of room transfer functions (RTFs) is an important topic with several applications in acoustic signal processing. RTFs are often modeled as finite-impulse response filters, characterized by orders of thousands of taps and non-minimum phase. In practice, only approximate estimates of the actual RTFs are available due to measurement noise, limited estimation accuracy, and temporal variation of source-receiver position. These issues make equalization a difficult problem. In this paper, we discuss multichannel equalization with focus on inexact RTF estimates. We present a multichannel method for the equalization filter design utilizing decimated and oversampled subbands, where the fullband acoustic impulse response is decomposed into equivalent subband filters prior to equalization. This technique is not only more computationally efficient but also more robust to impulse response inaccuracies compared with the full-band counterpart.

show abstract

“…A subband version of MINT was first investigated in [32]. This approach uses a critically decimated filter-bank.…”

Section: Multichannel Subband Equalizationmentioning

confidence: 99%

Equalization of Multichannel Acoustic Systems in Oversampled Subbands

Gaubitch

Naylor

2009

IEEE Trans. Audio Speech Lang. Process.

View full text Add to dashboard Cite

show abstract

“…A subband version of MINT was Àrst investigated in [16]; this was an experimental approach where the subband Àlters were determined using a reference signal and the relation between fullband and subband impulse responses was not speciÀcally considered. An adaptive method for multichannel equalization in oversampled subbands was demonstrated in [17] and was shown to provide signiÀcant improvement over the fullband counterpart.…”

Section: Subband Multichannel Ls Equalizationmentioning

confidence: 99%

Subband Method for Multichannel Least Squares Equalization of Room Transfer Functions

Gaubitch

Thomas

Naylor

2007

2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

View full text Add to dashboard Cite

Equalization of room transfer functions (RTFs) is important in many speech and audio processing applications. It is a challenging problem because RTFs are several thousand taps long and nonminimum phase and in practice only approximate measurements of the RTFs are available. In this paper, we present a subband multichannel least squares method for equalization of RTFs which is computationally efÀcient and less sensitive to inaccuracies in the measured RTFs compared to its fullband counterpart. Experimental results using simulated impulse responses demonstrate the performance of the algorithm.

show abstract

“…The first order Taylor expansion of Equation (2) in terms of t can be expressed by (5) where h'(8, t) is the time derivative of h(6, t). The second term obviously represents the variation of h(8, t) due to the change of room temperature.…”

Section: First Order Approximation Of Time Axis Scaling Modelmentioning

confidence: 99%

“…Many approaches have been proposed to remove the effects of reverberation. In the most of the approach, the inverse room acoustic transfer function is commonly used because the room acoustic transfer function reflects how the sound wave propagates from a sound source to a listener [1] [2] [3][4] [5]. However, the room acoustic transfer function is influenced by environmental conditions such as temperature and humidity in room, movement of people and so forth.…”

Section: Introductionmentioning

confidence: 99%

Compensating of room acoustic transfer functions affected by change of room temperature

Omura

Yada²,

Saruwatari³

et al. 1999

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)

Self Cite

View full text Add to dashboard Cite

This paper proposes an efficient compensation method using a first-order approximation of time axis scaling for the variations of the room acoustic transfer function. The time axis scaling model is based on the fact that the change of the sound velocity due to the change of room temperature is a dominant factor for the variations of room impulse response affected by environmental conditions. In this paper, the effectiveness of the compensation method is evaluated using room impulse responses measured in the real environment. As the results, it is clarified that the variations of room impulse response can be modeled by the first-order approximated time axis scaling when the successive re-estimation is performed every small change of temperature. Furthermore, it is shown that the compensation method applied to an inverse filtering based dereverberation approach improves the intelligibility and speech recognition rates dramatically.

show abstract

Recovering of broadband reverberant speech signal by sub-band MINT method

Cited by 20 publications

References 2 publications

Equalization of Multichannel Acoustic Systems in Oversampled Subbands

Equalization of Multichannel Acoustic Systems in Oversampled Subbands

Subband Method for Multichannel Least Squares Equalization of Room Transfer Functions

Compensating of room acoustic transfer functions affected by change of room temperature

Contact Info

Product

Resources

About