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.
The paper report a unique biologically inspired electro-chemical reference electrode based on regulating the breathing of bacteria. Some species of bacteria, named exoelectrogen, have the capability of extracellular electron transfer, which is the transfer of electrons to a solid electron acceptor outside their membrane. We find that it sets the solid electron acceptor at a stable electrochemical...
In order to simulate this feature and detect the salient region rapidly, we propose the Spatial-Temporal Feature in Compress Domain (STFCD) model. By respectively using H.264 residual coding length and motion vector coding length, we simulate the salient stimulus intensity and then get video saliency features. Finally, we use the linear weighted fusion algorithm to get the final video saliency maps...
In this paper, we propose a feature adaptation method that combines speech features from multiple microphone channels for robust automatic speech recognition (ASR). The proposed method first transforms the features in all channels using channel-dependent linear transforms, and then sum the channels into one channel for acoustic modeling. The transform parameters are estimated by maximizing the likelihood...
This paper presents a robust speech recognition system using a microphone array for the 3rd CHiME Challenge. A minimum variance distortionless response (MVDR) beamformer with adaptive microphone gains is proposed for robust beamforming. Two microphone gain estimation methods are studied using the speech-dominant time-frequency bins. A multichannel noise reduction (MCNR) postprocessing is also proposed...
In speech processing, speech signal is usually processed frame by frame due to the non-stationary characteristic of speech. In this paper, a frequency-domain averaging based frame smoothing method is proposed. Besides the conventional frame shift, we introduce a short time shift to create several frames around current frame. Then we take the average of power spectrum for these frames. The average...
In this paper, we propose a robust distant-talking speech recognition system with asynchronous speech recording. This is implemented by combining automatic asynchronous speech (microphone or mobile terminal) selection and environmental adaptation with deep neural network based framework. Although applications using mobile terminals have attracted increasing attention, there are few studies that focus...
Probabilistic linear discriminant analysis (PLDA) has shown to be an effective model for disentangling speaker and channel variability in the i-vector space for text-independent speaker verification. The speaker and channel subspaces in the PLDA model are typically trained by optimizing the maximum likelihood (ML) criterion. PLDA assumes that i-vectors are normally distributed, which has shown to...
A dereverberation method based on generalized spectral subtraction (GSS) using a multi-channel least mean square (MCLMS) approach achieved significantly improved results on speech recognition experiments compared with conventional methods. In this study, we employ this method for hands-free speaker identification. The GSS-based dereverberation method using clean speech models degrades speaker identification...
In this paper, we propose a distant-talking speaker recognition method using a reverberation model with various artificial room impulse responses. These artificial room impulse responses with different speaker and microphone positions, room sizes, and reflection coefficients of walls and convoluted with clean speech are used to train an artificial reverberation speaker model. This artificial reverberation...
A dereverberation method based on generalized spectral subtraction (GSS) using multi-channel least mean square (MCLMS) was proposed previously. The results on speech recognition experiments showed that this method achieved a significant improvement compare to the conventional methods. In this paper, we employ this method to distant-talking speaker recognition. However, the GSS-based dereverberation...
Many researches show that basic research affects the development of technological innovation positively. But how to acquire and explore external knowledge resources of basic research is becoming an important and key question for those technological managers. The paper provides a research framework based on DEA to investigate the nature influence of enhanced utilization of basic research on patented...
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.