Speech enhancement and speech separation are two related tasks, whose purpose is to
extract either one or more target speech signals, respectively, from a mixture of sounds …

We consider the problem of separating a particular sound source from a single-channel
mixture, based on only a short sample of the target source (from the same recording). Using …

Recently, the time-domain-based methods (ie, the method of modeling the raw waveform
directly) for audio source separation have shown tremendous potential. In this paper, we …

This paper presents an audio-visual approach for voice separation which produces state-of-
the-art results at a low latency in two scenarios: speech and singing voice. The model is …

We introduce a new paradigm for single-channel target source separation where the
sources of interest can be distinguished using non-mutually exclusive concepts (eg …

Many sounds that humans encounter are hierarchical in nature; a piano note is one of many
played during a performance, which is one of many instruments in a band, which might be …

In speech separation, the identities of the speakers may be an important cue to discriminate
speeches in the mixture and separate them better. A few recent researches used the …

The task of isolating a target singing voice in music videos has useful applications. In this
work, we explore the single-channel singing voice separation problem from a multimodal …

Common target sound extraction (TSE) approaches primarily relied on discriminative
approaches in order to separate the target sound while minimizing interference from the …

This paper presents the crossing scheme (X-scheme) for improving the performance of deep
neural network (DNN)-based music source separation (MSS) with almost no increasing …