A spectral subtraction algorithm for suppression of acoustic noise in speech

Boll, S.

doi:10.1109/icassp.1979.1170696

Cited by 76 publications

(43 citation statements)

References 4 publications

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“…In the proposed AENC scheme, the operation of the ANC block is processed frame by frame for noise reduction based on single-channel spectral subtraction algorithm [20][21][22]. According to (9), for the ith frame, the error signal for the duration of a frame length can be written as…”

Section: Noise Reduction In Spectral Domainmentioning

confidence: 99%

“…where the phase (arg[ E i (ω)]) is generally assumed to be the phase of the noise corrupted signal without causing significant degradation in terms of loss of intelligibility of the speech signal [20]. It can be seen that an estimate of the magnitude spectrum | S i (ω) | of the signal can be obtained provided an estimate of noise spectrum E{| V i (ω) | 2 } is available, which is generally computed during the periods when speech is known a priori not to be present.…”

Section: Noise Reduction In Spectral Domainmentioning

confidence: 99%

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Single-channel acoustic echo cancellation in noise based on gradient-based adaptive filtering

Mahbub

Fattah

Zhu

et al. 2014

J AUDIO SPEECH MUSIC PROC.

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In this paper, a two-stage scheme is proposed to deal with the difficult problem of acoustic echo cancellation (AEC) in single-channel scenario in the presence of noise. In order to overcome the major challenge of getting a separate reference signal in adaptive filter-based AEC problem, the delayed version of the echo and noise suppressed signal is proposed to use as reference. A modified objective function is thereby derived for a gradient-based adaptive filter algorithm, and proof of its convergence to the optimum Wiener-Hopf solution is established. The output of the AEC block is fed to an acoustic noise cancellation (ANC) block where a spectral subtraction-based algorithm with an adaptive spectral floor estimation is employed. In order to obtain fast but smooth convergence with maximum possible echo and noise suppression, a set of updating constraints is proposed based on various speech characteristics (e.g., energy and correlation) of reference and current frames considering whether they are voiced, unvoiced, or pause. Extensive experimentation is carried out on several echo and noise corrupted natural utterances taken from the TIMIT database, and it is found that the proposed scheme can significantly reduce the effect of both echo and noise in terms of objective and subjective quality measures.

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Section: Noise Reduction In Spectral Domainmentioning

confidence: 99%

Section: Noise Reduction In Spectral Domainmentioning

confidence: 99%

Single-channel acoustic echo cancellation in noise based on gradient-based adaptive filtering

Mahbub

Fattah

Zhu

et al. 2014

J AUDIO SPEECH MUSIC PROC.

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“…For each recording, noise reduction was performed using spectral subtraction [4]. Specifically, the spectrum of the ambient ocean noise was estimated during a period in which there was no transient activity, and this was subtracted from the spectrum of each noisy signal.…”

Section: Corpusmentioning

confidence: 99%

Classification of Transient Sonar Sounds Using Perceptually Motivated Features

Tucker

Brown

2005

IEEE J. Oceanic Eng.

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“…Pitches are extracted by a kind of spectral subtraction [2]. It uses peak approximation method based on characteristics of FFT and window function.…”

Section: Pitch Extractionmentioning

confidence: 99%

“…Section 6 shows evaluation of our new localization method, and last two sections give discussion and conclusion. 2 …”

Section: Introductionmentioning

confidence: 99%

Active audition system and humanoid exterior design

Nakadai¹,

Matsui

Okuno

et al.

Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113)

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In this paper, we present that a humanoid active audition system improved noise cancellation using humanoid cover acoustics and the cover design for an industrial exterior design.From the viewpoint of a design, the cover of humanoid should be functional and beautiful. And, the humanoid exterior should not obstruct the motion of the humanoid. In other words, a humanoid with motion requires design for motion. This is an important issue in the robotics eld because exterior design of robots has not been suciently studied yet.As for active audition, it is an important problem to distinguish between the internal sounds like motor noises and sounds which originate from the outer world. It is important that inevitable motor noise is cancelled while the humanoid is in motion. Therefore, humanoids require the exterior to cancel such internal noises because it separates humanoid inner world from the outer world.We reported an active audition system focused o n the sound source t r acking by integrating audition, vision and motor movements using sound separation of the humanoid cover.The experiments show that the humanoid can track and localize sound sources more a c curately, however noise cannot always cancelled out optimally and further improvements are r equired.

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A spectral subtraction algorithm for suppression of acoustic noise in speech

Cited by 76 publications

References 4 publications

Single-channel acoustic echo cancellation in noise based on gradient-based adaptive filtering

Single-channel acoustic echo cancellation in noise based on gradient-based adaptive filtering

Classification of Transient Sonar Sounds Using Perceptually Motivated Features

Active audition system and humanoid exterior design

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