Blind dereverberation of single channel speech signal based on harmonic structure

Nakatani, Tomohiro; Miyoshi, Masato

doi:10.1109/icassp.2003.1198724

Cited by 56 publications

(41 citation statements)

References 7 publications

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“…Recently, Nakatani and Miyoshi proposed a blind dereverberation method for a single-channel speech signal based on harmonic structure without measuring the impulse response of the room acoustics [4]. This method, however, requires accurate estimation of the fundamental frequency from the reverberant speech, and they pointed out that it is difficult to meet this requirement.…”

Section: Introductionmentioning

confidence: 99%

A speech dereverberation method based on the MTF concept in power envelope restoration

Unoki

Sakata

Furukawa

et al. 2004

Acoust. Sci. & Tech.

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Abstract:We previously proposed an improved method for restoring the power envelope from a reverberant signal, based on the modulation transfer function (MTF) concept in order to resolve the problems of Hirobayashi's method. In this paper, to apply our improved method to reverberant speech, we consider three issues related to speech applications: (i) how to apply the improved method to speech dereverberation based on co-modulation characteristics; (ii) whether the MTF concept can also be applied in the sub-band for reverberant signals; and (iii) whether power envelope inverse filtering should be done separately in each channel. We propose an extended filterbank model based on these considerations. We have carried out 15,000 simulations of the power envelope restoration for reverberant speech signals, and our results have shown that the proposed model can adequately restore the power envelopes in all channels from reverberant speech signals. We also found that the estimation of the reverberation time should be done separately in each channel to improve the restoration accuracy of the power envelope.

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Section: Introductionmentioning

confidence: 99%

A speech dereverberation method based on the MTF concept in power envelope restoration

Unoki

Sakata

Furukawa

et al. 2004

Acoust. Sci. & Tech.

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“…The harmonic structure of speech has been successfully used to obtain such an inverse filter from reverberant speech [3,4]. This technique is shown to be applicable even for heavily reverberated speech signals with a reverberation of, for example, 1 second.…”

Section: Introductionmentioning

confidence: 99%

Speech dereverberation algorithm using transfer function estimates with overestimated order

Hikichi

Delcroix

Miyoshi

2006

Acoust. Sci. & Tech.

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This paper addresses the blind dereverberation problem of a single-input multiple-output acoustic system. Many conventional approaches require a precise order of the transfer functions. In this paper, we propose an equalization algorithm that is less sensitive to the order misadjustment of the transfer functions. First, the transfer functions are estimated using an overestimated order, and the inverse filter set for these estimated transfer functions is calculated. Since the estimated transfer functions contain a common polynomial, the signal processed by the inverse filter set suffers from the effect of this common polynomial. Then, we extract this polynomial to compensate for the distortion. The proposed algorithm recovers input signal as long as the channel is overestimated. Simulation results show that the proposed method works well even when the order is highly overestimated.

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“…[13,14] An algorithm to employ the harmonic structure of speech, which is called harmonicity based dereverberation (HERB), has been also proposed. [15][16][17] The spectral enhancement technique is known as the most famous approach for single channel dereverberation techniques. [4,[18][19][20] The spectral enhancement Several techniques have been proposed to suppress both the reverberation and the noise.…”

Section: Introductionmentioning

confidence: 99%

Single-Channel Non-Causal Speech Enhancement to Suppress Reverberation and Background Noise

Song¹,

Kang

2012

The Journal of the Acoustical Society of Korea

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This paper proposes a speech enhancement algorithm to improve the speech intelligibility by suppressing both reverberation and background noise. The algorithm adopts a non-causal single-channel minimum variance distortionless response (MVDR) filter to exploit an additional information that is included in the noisy-reverberant signals in subsequent frames. The noisy-reverberant signals are decomposed into the parts of the desired signal and the interference that is not correlated to the desired signal. Then, the filter equation is derived based on the MVDR criterion to minimize the residual interference without bringing speech distortion. The estimation of the correlation parameter, which plays an important role to determine the overall performance of the system, is mathematically derived based on the general statistical reverberation model. Furthermore, the practical implementation methods to estimate sub-parameters required to estimate the correlation parameter are developed. The efficiency of the proposed enhancement algorithm is verified by performance evaluation. From the results, the proposed algorithm achieves significant performance improvement in all studied conditions and shows the superiority especially for the severely noisy and strongly reverberant environment.

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Blind dereverberation of single channel speech signal based on harmonic structure

Cited by 56 publications

References 7 publications

A speech dereverberation method based on the MTF concept in power envelope restoration

A speech dereverberation method based on the MTF concept in power envelope restoration

Speech dereverberation algorithm using transfer function estimates with overestimated order

Single-Channel Non-Causal Speech Enhancement to Suppress Reverberation and Background Noise

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