EURASIP Journal on Audio, Speech, and Music Processing

Featured article: Efficient music identification using ORB descriptors of the spectrogram image

In this paper, Dominic Williams et al propose a robust audio identification technique compared to the Shazam method.
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Articles

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Content type: Research
| 23 May 2018

Speech intelligibility improvement in noisy reverberant environments based on speech enhancement and inverse filtering

Authors: Huan-Yu Dong and Chang-Myung Lee
Content type: Research
| 13 April 2018

ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation

Authors: Javier Tejedor, Doroteo T. Toledano, Paula Lopez-Otero, Laura Docio-Fernandez, Jorge Proença, Fernando Perdigão, Fernando García-Granada, Emilio Sanchis, Anna Pompili and Alberto Abad
Content type: Research
| 26 January 2018

Automatic segmentation of infant cry signals using hidden Markov models

Authors: Gaurav Naithani, Jaana Kivinummi, Tuomas Virtanen, Outi Tammela, Mikko J. Peltola and Jukka M. Leppänen
Content type: Research
| 4 December 2017

Clustering algorithm for audio signals based on the sequential Psim matrix and Tabu Search

Authors: Wenfa Li, Gongming Wang and Ke Li
Content type: Research
| 29 November 2017

Robust noise power spectral density estimation for binaural speech enhancement in time-varying diffuse noise field

Authors: Youna Ji, Yonghyun Baek and Young-cheol Park

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Content type: Research
| 12 May 2015

Deep neural network-based bottleneck feature and denoising autoencoder-based dereverberation for distant-talking speaker identification

Authors: Zhaofeng Zhang, Longbiao Wang, Atsuhiko Kai, Takanori Yamada, Weifeng Li and Masahiro Iwahashi
Content type: Research
| 6 December 2013

N-dimensional N-microphone sound source localization

Authors: Ali Pourmohammad and Seyed Mohammad Ahadi
Content type: Review
| 9 October 2012

Comparative study of digital audio steganography techniques

Authors: Fatiha Djebbar, Beghdad Ayad, Karim Abed Meraim and Habib Hamam
Content type: Research
| 15 July 2014

PLDA in the i-supervector space for text-independent speaker verification

Authors: Ye Jiang, Kong Aik Lee and Longbiao Wang
Content type: Research
| 16 August 2012

Speaker-dependent model interpolation for statistical emotional speech synthesis

Authors: Chih-Yu Hsu and Chia-Ping Chen

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Special issues

Atypical Speech & Voices: Corpora, Classification, Coaching & Conversion
Edited by: Dr Vijay Parsa, Björn Schuller, Tiago Falk, Elmar Nöth
Published: 18 August 2015

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Society affiliation

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 corresponding author must enter the membership code when prompted. This can be requested from their EURASIP representative.

Call for special issues

EURASIP Journal on Audio, Speech, and Music Processing welcomes proposals for Special Issues. After acceptance, the Guest editors will be responsible for the content of the Special Issue. Please download the Proposal form here.

Proposals should be directed to emanuel.habets@audiolabs-erlangen.de .

Aims and 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.

NEW blog series about SpringerOpen EURASIP journals

In a series of blog posts, we’d like to provide you with some exciting insights into the 7 open access signal processing journals that SpringerOpen publishes together with EURASIP. You will find interviews with the journals’ Editors-in-Chief, with leaders of the society, you will hear more about the special issues that these journals publish on hot topics, along with useful tips for your manuscript submission and more. Read the blog here.