- Douglas O'Shaughnessy, Université du Québec
The European Association for Signal Processing (EURASIP) was founded on 1 September 1978 to improve communication between groups and individuals that work within the multidisciplinary, fast growing field of signal processing in Europe and elsewhere, and to exchange and disseminate information in this field all over the world. The association exists to further the efforts of researchers by providing a learned and professional platform for dissemination and discussion of all aspects of signal processing including continuous- and discrete-time signal theory, applications of signal processing, systems and technology, speech communication, and image processing and communication.
EURASIP members are entitled to a 10% discount on the article-processing charge. To claim this discount, the submitting author must enter the membership code when prompted. This can be requested from their EURASIP representative.
SpringerOpen is Springer’s new suite of open access journals which will cover all disciplines. SpringerOpen journals are fully and immediately open access and will publish articles under the Creative Commons Attribution license. This makes it easy for authors to fully comply with open access mandates and retain copyright. SpringerOpen journals combine open access and our expertise in delivering high-quality and rapid publications, from online submission systems and in-depth peer review to an efficient, author-friendly production process.
Aims & scope
The aim of EURASIP Journal on Audio, Speech, and Music Processing is to bring together researchers, scientists and engineers working on the theory and applications of the processing of various audio signals, with a specific focus on speech and music. EURASIP Journal on Audio, Speech, and Music Processing will be an interdisciplinary journal for the dissemination of all basic and applied aspects of speech communication and audio processes. Its primary objectives are:
- To publish articles on the advancement of both human speech communication science and automatic speech and audio systems
- To allow rapid and wide diffusion of excellent contributions in these areas
- To provide world-wide, barrier-free access to the full text of research articles
- To conduct a rapid but thorough review process in order to assure high quality articles
- To provide immediate web access once an article is editorially approved
The journal will be dedicated to having original research work, but will also allow tutorial and review articles. Articles will deal with both theoretical and practical aspects of audio, speech, and music processing.
The journal is an Open Access journal since 2006.
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Deep Learning for Speech and Language Processing Applications
Edited by: Dr Tara Sainath, B. Kingsbury, Michiel Bacchiani, Prof Hui Jiang, Frank Seide, Dr Andrew Senior
Published: 2 July 2015
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