Sentence examples for integration of audio from inspiring English sources

The last decade has seen the integration of audio, video, and 3D graphics into traditional workloads as well as the emergence of new workloads dominated by the processing of data representing such information.

Although many information-processing technologies from e-Business Solutions to the Semantic Web are relevant to AACR, the integration of audio and visual SP into SDR with suitable cognition architectures remains both a research challenge and a series of increasingly interesting radio systems designs opportunities.

Finally, the two papers by R. Nordhal and Menzies both concern the integration of audio into virtual reality applications in order to enhance user experience.

This is confirmed in [5] that early integration of audio and visual modalities can help in the identification and hence enhancement of speech in noisy environment.

Thus, the integration of audio and facial information is crucial to speech perception.

Here, we have used fMRI to investigate whether similar BOLD signal changes are observable during the crossmodal integration of nonspeech auditory and visual stimuli, matched or mismatched solely on the basis of their temporal synchrony, and if so, whether these crossmodal effects occur in similar brain areas as those identified during the integration of audio-visual speech.

In some cases, attention has been shown to be important for processes related to the integration of audio-visual stimuli, but in other cases such processes have been reported to occur independently of attention.

Finally, to determine the influence of lip-reading ability on the integration of audio-visual speech cues, a correlation between participants' correct responses in the mute control task and the number of McGurk illusions was computed.

In audio-visual experiments we also analyze the integration of the audio and visual streams.

This scheme allows the integration of the audio and visual modalities in both the feature level and the decision level, taking advantage of both.

The core of our method is a particle-filter-based integration of the audio and visual information based on a strong correlation between motions and beat timings of guitar playing.