Removing interferences and improving quality of degraded speech via speech enhancement (SE) is important in many applications such as telecommunications, speech recognition, voice over IP, hearing aids, and more. One major class of SE techniques includes machine learning, which is effective at enhancing speech quality, however, they require complex...

Background In automatic speech processing systems, speaker diarization is a crucial front-end component for separating speech segments by speaker without a priori knowledge about speaker identities. The first phase of many state-of-the-art diarization techniques involves the conversion of original speech data into representative i-vectors, which are...

In recent years, the proliferation of internet streaming applications has brought about the need for low-bit rate speech and audio coding methods. Several parametric designs such as the sinusoids+transients+noise model have been somewhat successful for speech and audio synthesis. Low-bit rate and streaming applications are restricted by only...