The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper proposes a robust front-end for speech applications based on restoration scheme of instantaneous amplitude and phase. Typical applications such as hearing aids and automatic speech recognition systems still have challenging issues with regard to robustness against noise and reverberation. The proposed front-end employed a combination of our previously proposed method for restoring instantaneous...
We have proved that restoring the instantaneous amplitude as well as instantaneous phase on Gammatone interbank plays a significant role for speech enhancement. However, it is still challenging topic with dereverberation since previously proposed scheme can only work in noisy environments. In this paper, we extend our previously proposed scheme to be general speech enhancement of removing the effects...
Many speech enhancement methods had been proposed to suppress the effects of noise or reverberation. Although most of methods aimed to enhance only noisy or reverberant speech, these cannot simultaneously enhance noisy reverberant speech. This paper proposes a method for restoring the power envelope from the noisy reverberant speech. This method is based on the MTF concept and does not require that...
This paper proposes a method for robustly and accurately estimating fundamental frequency (F0) of the steady complex tone on the basis of an amplitude modulation/demodulation technique. It is based on the well-known mechanism of pitch perception for AM tone. The comparative results revealed that the percentage correct rates of the estimated F0s using a few recent methods (TEMPO, PHIA, and CmpCep)...
In this paper, we propose a novel feature compensation approach based on the interacting multiple model (IMM) algorithm specially designed for joint processing of background noise and acoustic reverberation. Our approach to cope with the time-varying environmental parameters is to establish a switching linear dynamic model for the additive and convo-lutive distortions in the log-spectral domain. The...
Voice activity detection (VAD) is used to detect speech/non-speech periods in observed signals. However, the current VAD technique has a serious problem in that the accuracy of detection of speech periods drastically reduces if it is used for noisy speech and/or for mixtures of speech/non-speech such as those in music and environmental sounds. Thus, VAD needs to be robust to enable speech periods...
Recent methods of speech enhancement have been proposed to suppress the effects of background noise and reverberation. The effect of background noise in these methods is regarded as additive and that of reverberation is convolutive. Therefore, methods of reducing noise and dereverberation have been applied separately in tandem. We previously unified the effects of noise and reverberation in the modulation...
Noise reduction is used to reduce the noise effect on speech, and is important for many real speech applications. However, noise reduction inevitably causes speech distortion. The trade-off between noise reduction and speech distortion is always a key concern in designing noise reduction algorithms. In this study, we took a new look at this problem, and regarded the speech estimation as a functional...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.