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EURASIP Journal on Audio, Speech, and Music Processing
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  1. There has been little work in the literature on the speaker diarization of meetings with multiple distance microphones since the publications in 2012 related to the last National Institute of Standards (NIST) ...

    Authors: Beatriz Martínez-González, José M. Pardo, José A. Vallejo-Pinto, Rubén San-Segundo and Javier Ferreiros

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:12

    Content type: Research

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  2. Nowadays automatic speech recognition (ASR) systems can achieve higher and higher accuracy rates depending on the methodology applied and datasets used. The rate decreases significantly when the ASR system is ...

    Authors: Kacper Radzikowski, Le Wang, Osamu Yoshie and Robert Nowak

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:11

    Content type: Research

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  3. An integrated version of the minimum variance distortionless response (MVDR) beamformer for speech enhancement using a microphone array has been recently developed, which merges the benefits of imposing constr...

    Authors: Randall Ali, Toon van Waterschoot and Marc Moonen

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:10

    Content type: Research

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  4. 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

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  5. This paper reviews recent research works in infant cry signal analysis and classification tasks. A broad range of literatures are reviewed mainly from the aspects of data acquisition, cross domain signal proce...

    Authors: Chunyan Ji, Thosini Bamunu Mudiyanselage, Yutong Gao and Yi Pan

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:8

    Content type: Review

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  6. 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

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  7. We propose an algorithm for the blind separation of single-channel audio signals. It is based on a parametric model that describes the spectral properties of the sounds of musical instruments independently of ...

    Authors: Sören Schulze and Emily J. King

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:6

    Content type: Research

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  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

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  9. We propose a method of dynamically registering out-of-vocabulary (OOV) words by assigning the pronunciations of these words to pre-inserted OOV tokens, editing the pronunciations of the tokens. To do this, we ...

    Authors: Norihide Kitaoka, Bohan Chen and Yuya Obashi

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:4

    Content type: Research

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  10. Instrumentalplaying techniques such as vibratos, glissandos, and trills often denote musical expressivity, both in classical and folk contexts. However, most existing approaches to music similarity retrieval f...

    Authors: Vincent Lostanlen, Christian El-Hajj, Mathias Rossignol, Grégoire Lafay, Joakim Andén and Mathieu Lagrange

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:3

    Content type: Research

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  11. In this paper, a study addressing the task of tracking multiple concurrent speakers in reverberant conditions is presented. Since both past and future observations can contribute to the current location estima...

    Authors: Yuval Dorfan, Boaz Schwartz and Sharon Gannot

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:2

    Content type: Research

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  12. The progressive paradigm is a promising strategy to optimize network performance for speech enhancement purposes. Recent works have shown different strategies to improve the accuracy of speech enhancement solu...

    Authors: Jorge Llombart, Dayana Ribas, Antonio Miguel, Luis Vicente, Alfonso Ortega and Eduardo Lleida

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:1

    Content type: Research

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  13. In real applications, environmental effects such as additive noise and room reverberation lead to a mismatch between training and testing signals that substantially reduces the performance of far-field speaker...

    Authors: Masoud Geravanchizadeh and Sina Ghalamiosgouei

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:20

    Content type: Research

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  14. In this paper, we investigate the performance of two deep learning paradigms for the audio-based tasks of acoustic scene, environmental sound and domestic activity classification. In particular, a convolutiona...

    Authors: Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Lukas Stappen, Alice Baird, Lukas Koebe and Björn Schuller

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:19

    Content type: Research

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  15. In this article, we conduct a comprehensive simulation study for the optimal scores of speaker recognition systems that are based on speaker embedding. For that purpose, we first revisit the optimal scores for...

    Authors: Dong Wang

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:18

    Content type: Research

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  16. Depression is a widespread mental health problem around the world with a significant burden on economies. Its early diagnosis and treatment are critical to reduce the costs and even save lives. One key aspect ...

    Authors: Cenk Demiroglu, Aslı Beşirli, Yasin Ozkanca and Selime Çelik

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:17

    Content type: Research

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  17. Drone-embedded sound source localization (SSL) has interesting application perspective in challenging search and rescue scenarios due to bad lighting conditions or occlusions. However, the problem gets complic...

    Authors: Alif Bin Abdul Qayyum, K. M. Naimul Hassan, Adrita Anika, Md. Farhan Shadiq, Md Mushfiqur Rahman, Md. Tariqul Islam, Sheikh Asif Imran, Shahruk Hossain and Mohammad Ariful Haque

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:16

    Content type: Research

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  18. Humanoid robots require to use microphone arrays to acquire speech signals from the human communication partner while suppressing noise, reverberation, and interferences. Unlike many other applications, microp...

    Authors: Gongping Huang, Jingdong Chen, Jacob Benesty, Israel Cohen and Xudong Zhao

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:15

    Content type: Research

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  19. Microphone leakage or crosstalk is a common problem in multichannel close-talk audio recordings (e.g., meetings or live music performances), which occurs when a target signal does not only couple into its dedi...

    Authors: Patrick Meyer, Samy Elshamy and Tim Fingscheidt

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:14

    Content type: Research

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  20. A method to locate sound sources using an audio recording system mounted on an unmanned aerial vehicle (UAV) is proposed. The method introduces extension algorithms to apply on top of a baseline approach, whic...

    Authors: Benjamin Yen and Yusuke Hioka

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:13

    Content type: Research

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  21. Estimation problems like room geometry estimation and localization of acoustic reflectors are of great interest and importance in robot and drone audition. Several methods for tackling these problems exist, bu...

    Authors: Usama Saqib, Sharon Gannot and Jesper Rindom Jensen

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:12

    Content type: Research

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  22. Ego-noise, i.e., the noise a robot causes by its own motions, significantly corrupts the microphone signal and severely impairs the robot’s capability to interact seamlessly with its environment. Therefore, su...

    Authors: Alexander Schmidt, Andreas Brendel, Thomas Haubner and Walter Kellermann

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:11

    Content type: Research

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  23. A keyword spotting algorithm implemented on an embedded system using a depthwise separable convolutional neural network classifier is reported. The proposed system was derived from a high-complexity system wit...

    Authors: Peter Mølgaard Sørensen, Bastian Epp and Tobias May

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:10

    Content type: Research

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  25. In this work, we present an ensemble for automated audio classification that fuses different types of features extracted from audio files. These features are evaluated, compared, and fused with the goal of pro...

    Authors: Loris Nanni, Yandre M. G. Costa, Rafael L. Aguiar, Rafael B. Mangolin, Sheryl Brahnam and Carlos N. Silla Jr.

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:8

    Content type: Research

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  26. In this paper, we introduce a quadratic approach for single-channel noise reduction. The desired signal magnitude is estimated by applying a linear filter to a modified version of the observations’ vector. The...

    Authors: Gal Itzhak, Jacob Benesty and Israel Cohen

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:7

    Content type: Research

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  27. In order to improve the performance of hand-crafted features to detect playback speech, two discriminative features, constant-Q variance-based octave coefficients and constant-Q mean-based octave coefficients,...

    Authors: Jichen Yang, Longting Xu, Bo Ren and Yunyun Ji

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:6

    Content type: Research

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  28. This paper presents a new approach based on recurrent neural networks (RNN) to the multiclass audio segmentation task whose goal is to classify an audio signal as speech, music, noise or a combination of these...

    Authors: Pablo Gimeno, Ignacio Viñals, Alfonso Ortega, Antonio Miguel and Eduardo Lleida

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:5

    Content type: Research

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  29. Binaural sound source localization is an important and widely used perceptually based method and it has been applied to machine learning studies by many researchers based on head-related transfer function (HRT...

    Authors: Jing Wang, Jin Wang, Kai Qian, Xiang Xie and Jingming Kuang

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:4

    Content type: Research

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  30. Attention-based encoder-decoder models have recently shown competitive performance for automatic speech recognition (ASR) compared to conventional ASR systems. However, how to employ attention models for onlin...

    Authors: Junfeng Hou, Wu Guo, Yan Song and Li-Rong Dai

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:3

    Content type: Research

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  31. Experimental data combining complementary measures based on the oral airflow signal is presented in this paper, exploring the view that European Portuguese voiced stops are produced in a similar fashion to Ger...

    Authors: Luis M. T. Jesus and Maria Conceição Costa

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:2

    Content type: Research

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  32. In this paper, we use empirical mode decomposition and Hurst-based mode selection (EMDH) along with deep learning architecture using a convolutional neural network (CNN) to improve the recognition of dysarthri...

    Authors: Mohammed Sidi Yakoub, Sid-ahmed Selouani, Brahim-Fares Zaidi and Asma Bouchair

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:1

    Content type: Research

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  33. We present a novel model adaptation approach to deal with data variability for speaker diarization in a broadcast environment. Expensive human annotated data can be used to mitigate the domain mismatch by mean...

    Authors: Ignacio Viñals, Alfonso Ortega, Jesús Villalba, Antonio Miguel and Eduardo Lleida

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:24

    Content type: Research

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  34. In this paper, we propose a score-informed source separation framework based on non-negative matrix factorization (NMF) and dynamic time warping (DTW) that suits for both offline and online systems. The propos...

    Authors: Antonio Jesús Munoz-Montoro, Julio José Carabias-Orti, Pedro Vera-Candeas, Francisco Jesús Canadas-Quesada and Nicolás Ruiz-Reyes

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:23

    Content type: Research

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  35. Text-to-speech (TTS) synthesis systems have been widely used in general-purpose applications based on the generation of speech. Nonetheless, there are some domains, such as storytelling or voice output aid dev...

    Authors: Marc Freixes, Francesc Alías and Joan Claudi Socoró

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:22

    Content type: Research

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  36. So-called full-face masks are essential for fire fighters to ensure respiratory protection in smoke diving incidents. While such masks are absolutely necessary for protection purposes on one hand, they impair the...

    Authors: Michael Brodersen, Achim Volmer and Gerhard Schmidt

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:21

    Content type: Research

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  37. According to the encoding and decoding mechanism of binaural cue coding (BCC), in this paper, the speech and noise are considered as left channel signal and right channel signal of the BCC framework, respectiv...

    Authors: Xianyun Wang and Changchun Bao

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:20

    Content type: Research

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  38. Phonetic information is one of the most essential components of a speech signal, playing an important role for many speech processing tasks. However, it is difficult to integrate phonetic information into spea...

    Authors: Yi Liu, Liang He, Jia Liu and Michael T. Johnson

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:19

    Content type: Research

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  39. A method called joint connectionist temporal classification (CTC)-attention-based speech recognition has recently received increasing focus and has achieved impressive performance. A hybrid end-to-end architec...

    Authors: Chu-Xiong Qin, Wen-Lin Zhang and Dan Qu

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:18

    Content type: Research

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  40. Voice conversion (VC) is a technique of exclusively converting speaker-specific information in the source speech while preserving the associated phonemic information. Non-negative matrix factorization (NMF)-ba...

    Authors: Yuki Takashima, Toru Nakashika, Tetsuya Takiguchi and Yasuo Ariki

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:17

    Content type: Research

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  41. Search on speech (SoS) is a challenging area due to the huge amount of information stored in audio and video repositories. Spoken term detection (STD) is an SoS-related task aiming to retrieve data from a spee...

    Authors: Javier Tejedor, Doroteo T. Toledano, Paula Lopez-Otero, Laura Docio-Fernandez, Ana R. Montalvo, Jose M. Ramirez, Mikel Peñagarikano and Luis Javier Rodriguez-Fuentes

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:16

    Content type: Research

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  42. Voice-enabled interaction systems in domestic environments have attracted significant interest recently, being the focus of smart home research projects and commercial voice assistant home devices. Within the ...

    Authors: Panagiotis Giannoulis, Gerasimos Potamianos and Petros Maragos

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:15

    Content type: Research

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  43. Speech emotion recognition methods combining articulatory information with acoustic features have been previously shown to improve recognition performance. Collection of articulatory data on a large scale may ...

    Authors: Mohit Shah, Ming Tu, Visar Berisha, Chaitali Chakrabarti and Andreas Spanias

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:14

    Content type: Research

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  44. The huge amount of information stored in audio and video repositories makes search on speech (SoS) a priority area nowadays. Within SoS, Query-by-Example Spoken Term Detection (QbE STD) aims to retrieve data f...

    Authors: Javier Tejedor, Doroteo T. Toledano, Paula Lopez-Otero, Laura Docio-Fernandez, Mikel Peñagarikano, Luis Javier Rodriguez-Fuentes and Antonio Moreno-Sandoval

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:13

    Content type: Research

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  45. In this paper, we apply a latent class model (LCM) to the task of speaker diarization. LCM is similar to Patrick Kenny’s variational Bayes (VB) method in that it uses soft information and avoids premature hard...

    Authors: Liang He, Xianhong Chen, Can Xu, Yi Liu, Jia Liu and Michael T. Johnson

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:12

    Content type: Research

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  46. We propose a new method for music detection from broadcasting contents using the convolutional neural networks with a Mel-scale kernel. In this detection task, music segments should be annotated from the broad...

    Authors: Byeong-Yong Jang, Woon-Haeng Heo, Jung-Hyun Kim and Oh-Wook Kwon

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:11

    Content type: Research

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  47. Singing voice analysis has been a topic of research to assist several applications in the domain of music information retrieval system. One such major area is singer identification (SID). There has been enormo...

    Authors: Deepali Y. Loni and Shaila Subbaraman

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:10

    Content type: Research

    Published on:

  48. Audio signals represent a wide diversity of acoustic events, from background environmental noise to spoken communication. Machine learning models such as neural networks have already been proposed for audio si...

    Authors: Diego de Benito-Gorron, Alicia Lozano-Diez, Doroteo T. Toledano and Joaquin Gonzalez-Rodriguez

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:9

    Content type: Research

    Published on:

  49. There are many studies on detecting human speech from artificially generated speech and automatic speaker verification (ASV) that aim to detect and identify whether the given speech belongs to a given speaker....

    Authors: Zeyan Oo, Longbiao Wang, Khomdet Phapatanaburi, Meng Liu, Seiichi Nakagawa, Masahiro Iwahashi and Jianwu Dang

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:8

    Content type: Research

    Published on:

  50. In this paper, an adaptive averaging a priori SNR estimation employing critical band processing is proposed. The proposed method modifies the current decision-directed a priori SNR estimation to achieve faster...

    Authors: Lara Nahma, Pei Chee Yong, Hai Huyen Dam and Sven Nordholm

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:7

    Content type: Research

    Published on:

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  • ISSN: 1687-4722 (electronic)