Sentence examples for acoustic feature from inspiring English sources

In addition, our results show that the proposed methods for integrating linguistic representation and utilizing a cascaded prediction strategy can further improve the accuracy of acoustic feature prediction.

We focus on two parts of the system, namely the acoustic classifier, which is based on a 2048 component Gaussian Mixture Model (GMM), and acoustic feature extraction.

First, the posterior probabilities derived from a phoneme classifier are concatenated with EMA features to provide a linguistic description of each frame for acoustic feature prediction.

Acoustic feature parametrisation is done with mel-frequency cepstral coefficients and their first-order temporal derivatives.

This paper investigates the important role that acoustic feature extraction plays in automatic chord recognition.

Acoustic feature vectors are augmented by the corresponding i-vectors before being applied to the DNN.

3 In our experiments, we used mel cepstra as the acoustic feature vector.

Acoustic feature vectors are thought to be different at accurate music boundaries.

Finally, whitening is applied to reduce the dimension of acoustic feature vectors to k a elements.

x 0 corresponds to the input acoustic feature vector of the DNN.

Fundamental frequency or pitch is the major acoustic feature to distinguish the four basic tones.