Sentence examples for changes of speech from inspiring English sources

The spectrogram was used to visually display the changes of speech intelligibility before and after processing.

Nevertheless, we still attempted to use the STOI measure to predict the changes of speech intelligibility objectively.

The articulatory variability results in fact not only from changes of speech style or emotional content but also from the under specification of articulatory targets and planning [3].

The log-spectral distortion measure was used to compare the speech distortion of algorithms under different noise types, and the short-time objective intelligibility measure was used to predict and compare the changes of speech intelligibility of different algorithms.

However, it may lead to delay of estimation, since a fixed value cannot track the practical change of speech.

Weighting factor α shows the change of speech and determines the weights of both parts in Eq. (6).

Five patients reported no change of speech after operation, two reported worse speech ability, and one patient reported improved speech after operation.

Therefore, if these areas can be detected, the weighting factor can be set as a smaller value properly in order to quickly track the change of speech.

In fact, in a non-speech frame, a large value of α close to 1 is beneficial to providing smooth estimation, while in a speech frame, especially when the change of speech is violent, α should be set as a small value in order to quickly track the change of speech.

DDBSE can provide a smaller weighting factor in the speech frame to adapt to the change of speech and adopt a larger weighting factor for noise suppression in the non-speech frame.

In the DD approach, the weighting factor plays an important role in the performance of the algorithm, which shows the change of speech and is used to control the forgetfulness of the estimator.