Skip to main content

Data-driven Approaches in Acoustic Signal Processing: Methods and Applications

  1. Multiple sound source localization is a hot issue of concern in recent years. The Single Source Zone (SSZ) based localization methods achieve good performance due to the detection and utilization of the Time-F...

    Authors: Maoshen Jia, Shang Gao and Changchun Bao

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:23

    Content type: Research

    Published on:

  2. Recently, the non-intrusive speech quality assessment method has attracted a lot of attention since it does not require the original reference signals. At the same time, neural networks began to be applied to ...

    Authors: Miao Liu, Jing Wang, Weiming Yi and Fang Liu

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:20

    Content type: Research

    Published on:

  3. Sound event detection (SED), which is typically treated as a supervised problem, aims at detecting types of sound events and corresponding temporal information. It requires to estimate onset and offset annotat...

    Authors: Sichen Liu, Feiran Yang, Yin Cao and Jun Yang

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:19

    Content type: Research

    Published on:

  4. Amongst the various characteristics of a speech signal, the expression of emotion is one of the characteristics that exhibits the slowest temporal dynamics. Hence, a performant speech emotion recognition (SER)...

    Authors: Duowei Tang, Peter Kuppens, Luc Geurts and Toon van Waterschoot

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:18

    Content type: Research

    Published on:

  5. In this study, we present a deep neural network-based online multi-speaker localization algorithm based on a multi-microphone array. Following the W-disjoint orthogonality principle in the spectral domain, tim...

    Authors: Hodaya Hammer, Shlomo E. Chazan, Jacob Goldberger and Sharon Gannot

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:16

    Content type: Research

    Published on:

  6. The presence of degradations in speech signals, which causes acoustic mismatch between training and operating conditions, deteriorates the performance of many speech-based systems. A variety of enhancement tec...

    Authors: Yuki Saishu, Amir Hossein Poorjam and Mads Græsbøll Christensen

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:9

    Content type: Research

    Published on:

  7. Over the recent years, machine learning techniques have been employed to produce state-of-the-art results in several audio related tasks. The success of these approaches has been largely due to access to large...

    Authors: Rajat Hebbar, Pavlos Papadopoulos, Ramon Reyes, Alexander F. Danvers, Angelina J. Polsinelli, Suzanne A. Moseley, David A. Sbarra, Matthias R. Mehl and Shrikanth Narayanan

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:7

    Content type: Research

    Published on:

  8. Two novel methods for speaker separation of multi-microphone recordings that can also detect speakers with infrequent activity are presented. The proposed methods are based on a statistical model of the probab...

    Authors: Bracha Laufer-Goldshtein, Ronen Talmon and Sharon Gannot

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:5

    Content type: Research

    Published on: