Atypical Speech & Voices: Corpora, Classification, Coaching & Conversion
Edited by: Dr Vijay Parsa, Björn Schuller, Tiago Falk, Elmar Nöth
Published: 18 August 2015
Featured article: Loudness stability of binaural sound with spherical harmonic representation of sparse head-related transfer functions
In this paper, Zamir Ben-Hur et al studied errors in the SH representation of sparsely measured HRTFs, providing insight into the possible effect of these errors on the reconstructed binaural signal. The study focused on the perceived loudness stability of the virtual acoustic scene.
Articles
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Text-to-speech system for low-resource language using cross-lingual transfer learning and data augmentation
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Spherical harmonic covariance and magnitude function encodings for beamformer design
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U2-VC: one-shot voice conversion using two-level nested U-structure
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dEchorate: a calibrated room impulse response dataset for echo-aware signal processing
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Deep neural network-based bottleneck feature and denoising autoencoder-based dereverberation for distant-talking speaker identification
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iSargam: music notation representation for Indian Carnatic music
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N-dimensional N-microphone sound source localization
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Comparative study of digital audio steganography techniques
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Noise reduction for periodic signals using high-resolution frequency analysis
Special issues
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.
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Open Special Issues
Recent advances in computational sound scene analysis
Deadline for submission: 1 April 2022
Call for Special Issues
EURASIP Journal on Audio, Speech, and Music Processing (JASM) welcomes Special Issues on timely topics related to the field of signal processing. The objective of Special Issues is to bring together recent and high quality works in a research domain, to promote key advances in theory and applications of the processing of various audio signals, with a specific focus on speech and music and to provide overviews of the state-of-the-art in emerging domains.
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 is an interdisciplinary journal for the dissemination of all basic and applied aspects of speech communication and audio processes. Its primary objectives are:
- To publish novel contributions of the following types: empirical research, methodology, software, and review
- 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
The journal is dedicated to having original research work, but will also allow tutorial and review articles. Articles deal with both theoretical and practical aspects of audio, speech, and music processing.
Types of Contributions:
The EURASIP Journal on Audio, Speech, and Music Processing recognizes novel contributions of the following types within its area:
- Empirical Research: Data-driven research, new experimental results, and new data sets
- Methodology: New theory and methods for the processing of speech, audio, and music signals
- Software: New software implementations and toolboxes for speech, audio, and music processing
- Review: Timely and comprehensive overview and tutorial material covering recent developments within the field
The journal is an Open Access journal since 2006.
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Annual Journal Metrics
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Speed
75 days to first decision for reviewed manuscripts only
64 days to first decision for all manuscripts
222 days from submission to acceptance
34 days from acceptance to publicationCitation Impact
1.558 - 2-year Impact Factor
2.008 - 5-year Impact Factor
1.101 - Source Normalized Impact per Paper (SNIP)
0.259 - SCImago Journal Rank (SJR)Usage
169,532 downloads
10 Altmetric mentions
Funding your APC
- ISSN: 1687-4722 (electronic)