Learn the technology behind hearing aids, Siri, and Echo Audio source separation and
speech enhancement aim to extract one or more source signals of interest from an audio …

Perceiving a scene most fully requires all the senses. Yet modeling how objects look and
sound is challenging: most natural scenes and events contain multiple objects, and the …

We propose a method of separating a desired sound source from a single-channel mixture,
based on either a textual description or a short audio sample of the target source. This is …

Speech separation quality can be improved by exploiting textual information. However, this
usually requires text-to-speech alignment at phoneme level. Classical alignment methods …

In this paper we tackle the problem of single channel audio source separation driven by
descriptors of the sounding object's motion. As opposed to previous approaches, motion is …

Prior information about the target source can improve audio source separation quality but is
usually not available with the necessary level of audio alignment. This has limited its …

This chapter introduces multichannel nonnegative matrix factorization (NMF) methods for
audio source separation. All the methods and some of their extensions are introduced within …

Recent research has shown remarkable performance in leveraging multiple extraneous
conditional and non-mutually-exclusive semantic concepts for sound source separation …

We consider the task of separating and classifying individual sound sources mixed together.
The main challenge is to achieve robust classification despite residual distortion of the …

We present a general multi-channel source separation framework where additional audio
references are available for one (or more) source (s) of a given mixture. Each audio …