Sentence examples for speech segregation system from inspiring English sources

Figure 5 shows the diagram of unvoiced speech segregation system.

This paper proposes a voiced speech segregation system based on a newly introduced concept called dynamic harmonic function (DHF).

Finally, conclusion is presented in Section 4. Figure1 illustrates the proposed speech separation model, which is a multi-stage system, where initial segmentation module is improved and the smoothing module for auditory element mask based on the morphological image processing is added to CASA speech segregation system.

For unvoiced speech segregation, Hu Wang system employed a multi-scale onset and offset analysis for unvoiced speech segmentation, which makes both voiced and unvoiced speeches correctly segmented in[8].

Pitch and harmonic structure provide an efficient mechanism for voiced speech segregation in CASA systems [8, 9].

As CASA system performs speech segregation based on the various features, it always produces broken auditory elements in the mask, which leads to the missing portions of the segregated signal.

We evaluated the separation performance of the proposed system and compared it with the Hu Wang tandem system for the speech segregation tasks with artificially mixed speech data.

Moreover, this system just enables voiced speech segregation based only on pitch.

There are several works that have used the CASA system for the composite speech segregation, multiple fundamental frequencies estimation and tracking, speech recognition, etc.

For voiced speech segregation, Hu and Wang[5, 6] proposed a typical monaural CASA system which groups the resolved and unresolved harmonics differently, using amplitude modulation (AM) effects to improve segregation.

Finally, from the previously presented methods, we conclude that CASA system is introduced to solve the problem of speech segregation by mimicking the auditory process of source separation.