Statistical modeling techniques have been applied successfully to natural language processing tasks such as automatic speech recognition (ASR) and statistical machine translation (SMT). Since most statistical approaches rely heavily on availability of data and the underlying model assumptions, reduction in uncertainty is critical to their optimal performance. In speech translation, the uncertai...

A speech signal captured by a distant microphone is generally contaminated by reverberation, which severely degrades the audible quality and intelligibility of the observed speech. In this paper, we investigate the single channel dereverberation which has been considered as one of the most challenging tasks. We propose an example-based speech enhancement approach used in combination with non-ex...

"The notions of luck, risk, noise, and uncertainty could be often read in sports-related literature. However, there was not published a study so far that attempts to summarize the differences similarities among them. In this paper, we aim review most influential papers, books carried out relation these concepts. As topic sports literature is quite diverse, therefore, followed method aiming for ...

This paper deals with the role of paralinguistic expression in articulatory speech synthesis. We describe two experiments which investigate the perception of certain vs. uncertain utterances produced by articulatory speech synthesis, using the system developed in [1]. Experiment 1 tests to what extent subjects are able to identify certainty and uncertainty as intended paralinguistic expressions...

While automatic speech recognition of either Cantonese or English alone has achieved a great degree of success, recognition of Canton-English code-mixing speech is not as trivial. This paper attempts to analyze the effect of language mixing on recognition performance of code-mixing utterances. By examining the recognition results of Canton-English code-mixing speech, where Canton is the matrix ...

This paper deals with the modelling and perception of disfluencies in articulatory speech synthesis. The stimuli are embedded into short dialogues in question-answering situations in a human–machine scenario. The system is supposed to express uncertainty in the answer. We test the influence of delay, intonation, and filler as prosodic indicators of uncertainty on perception in two studies. Stud...

Speech enhancement is an important front-end technique to improve automatic speech recognition (ASR) in noisy environments. However, the wrong noise suppression of speech enhancement often causes additional distortions in speech signals, which degrades the ASR performance. To compensate the distortions, ASR needs to consider the uncertainty of enhanced features, which can be achieved by using t...

Vocal tract resonances play a central role in the perception and analysis of speech. Here we consider the canonical task of estimating such resonances from an observed acoustic waveform, and formulate it as a statistical model-based tracking problem. In this vein, Deng and colleagues recently showed that a robust linearization of the formant-to-cepstrum map enables the effective use of a Kalman...