Skip to Main content Skip to Navigation
New interface
Book sections


Emmanuel Vincent 1 Sharon Gannot 2 Tuomas Virtanen 3 
1 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : Source separation and speech enhancement are core problems in the field of audio signal processing, with applications to speech, music, and environmental audio. Research in this field has accompanied technological trends, such as the move from landline to mobile or hands-free phones, the gradual replacement of stereo by 3D audio, and the emergence of connected devices equipped with one or more microphones that can execute audio processing tasks which were previously regarded as impossible. In this short introductory chapter, after a brief discussion of the application needs in Section 1.1, we define the problems of source separation and speech enhancement and introduce relevant terminology regarding the scenarios and the desired outcome in Section 1.2. We then present the general processing scheme followed by most source separation and speech enhancement approaches and categorize these approaches in Section 1.3. Finally, we provide an outline of this book in Section 1.4.
Document type :
Book sections
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download
Contributor : Emmanuel Vincent Connect in order to contact the contributor
Submitted on : Tuesday, September 25, 2018 - 9:21:45 PM
Last modification on : Tuesday, October 25, 2022 - 4:19:34 PM


Files produced by the author(s)


  • HAL Id : hal-01881422, version 1


Emmanuel Vincent, Sharon Gannot, Tuomas Virtanen. Introduction. Emmanuel Vincent; Tuomas Virtanen; Sharon Gannot. Audio source separation and speech enhancement, Wiley, 2018, 978-1-119-27989-1. ⟨hal-01881422⟩



Record views


Files downloads