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An audio-visual corpus has been collected to support the use of common material in speech perception and automatic speech recognition studies. The corpus consists of high-quality audio and video recordings of 1000 sentences spoken by each of 34 talkers. Sentences are simple, syntactically identical phrases such as "place green at B 4 now". Intelligibility(More)
The aim of this work is to enable a noise-free time-domain speech signal to be reconstructed from a stream of MFCC vectors and fundamental frequency and voicing estimates, such as may be received in a distributed speech recognition system. To facilitate reconstruction, both a sinusoidal model and a source-filter model of speech are compared by listening(More)
This study was conducted to demonstrate myocardial protective effects and possible underlying mechanisms of vitexin on myocardial ischemia/reperfusion (I/R) injury in rats. Occluding the anterior descending artery for 30 min and restoring blood perfusion for 60 min in rat established a model of myocardial I/R. The elevation of the ST segment of(More)
The aim of the present study is to investigate the effects and its possible underlying mechanisms of vitexin on myocardial ischemia/reperfusion (I/R) injury in isolated rat hearts. Isolated rat hearts were perfused with Langendorff apparatus, which subjected to 30 min ischemia and then followed by 60 min reperfusion. In the isolated rat heart subjected to(More)
This study was aimed at investigating the protective effect and mechanism of vitexin preconditioning (VPC) on cultured neonatal rat cardiomyocytes after anoxia and reoxygenation (A/R). An A/R model was established by using cultured neonatal rat cardiomyocytes. Cellular injury was evaluated by measuring cell viability, the releases of creatine kinase (CK),(More)
This work proposes a method for predicting the fundamental frequency and voicing of a frame of speech from its mel-frequency cepstral coefficient (MFCC) vector representation. This information is subsequently used to enable a speech signal to be reconstructed solely from a stream of MFCC vectors and has particular application in distributed speech(More)
The paper considers the problem of audiovisual speech recognition in a simultaneous (target/masker) speaker environment. The paper follows a conventional mul-tistream approach and examines the specific problem of estimating reliable time-varying audio and visual stream weights. The task is challenging because, in the two speaker condition, signal-to-noise(More)
Plants and herbivorous insects can each be dramatically affected by temperature. Climate warming may impact plant invasion success directly but also indirectly through changes in their natural enemies. To date, however, there are no tests of how climate warming shifts the interactions among invasive plants and their natural enemies to affect invasion(More)
This work presents a method of reconstructing a speech signal from a stream of MFCC vectors using a source-filter model of speech production. The MFCC vectors are used to provide an estimate of the vocal tract filter. This is achieved by inverting the MFCC vector back to a smoothed estimate of the magnitude spectrum. The Wiener-Khintchine theorem and linear(More)