Still, as stated by You [3], 'there is no reliable metric available for measuring the audio-visual quality automatically.'.
The aim of this study was to compare the temporal features of multisensory integration in twenty obese people to those of twenty healthy controls, by measuring the audio-visual temporal binding window, defined as the range of stimulus onset asynchrony in which multiple sensory inputs have a high probability of altering responses.
In order to demonstrate the performance of the proposed algorithm, some numerical experiments are carried out to measure the audio quality of the watermarked audio and evaluate the robustness of the watermark under typical attacks.
"We are actually going to be able to have measurement for content that's playing on Netflix because we have the audio tags - we can measure the audio signature," Nielsen agency solutions MD David Hohman tells Beet.TV in this panel interview.
The fundamental problem when measuring the similarity between audio samples is the imperfect definition of similarity.
In [12], a statistical AV model based on Gaussian mixture models (GMMs) is presented for measuring the coherency of audio and its corresponding video and is used for extracting speech of interest from instantaneous squared mixtures on a simple French logatoms AV corpus.
Measuring the transient behavior of distorting audio devices is difficult in general.
Self-assessment manikins (SAMs) [37] (Figure 4) were used for measuring the emotional content of each audio clip with ratings on a five-level scale between one and five for valence, activation, and dominance.
To measure the extent of audio reduction, the algorithm was used to process all of the 24 h recordings from the 20 patients and the positive records were produced to determine the length of the remaining audio.
We measure the similarity between two audio samples by the distance of the pdfs of their frame-wise feature vectors.
Then a Gaussian Mixture Models (GMM) Super vector is used to model each fall or noise segment by applying Euclidean distance to measure the pairwise difference between audio segments.
