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EURASIP Journal on Audio, Speech, and Music Processing
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Articles

Page 5 of 8

  1. The framework of voice conversion system is expected to emphasize both the static and dynamic characteristics of the speech signal. The conventional approaches like Mel frequency cepstrum coefficients and line...

    Authors: Jagannath H Nirmal, Mukesh A Zaveri, Suprava Patnaik and Pramod H Kachare

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:28

    Content type: Research

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  2. This paper investigates real-time N-dimensional wideband sound source localization in outdoor (far-field) and low-degree reverberation cases, using a simple N-microphone arrangement. Outdoor sound source localiza...

    Authors: Ali Pourmohammad and Seyed Mohammad Ahadi

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:27

    Content type: Research

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  3. Affective computing, especially from speech, is one of the key steps toward building more natural and effective human-machine interaction. In recent years, several emotional speech corpora in different languag...

    Authors: Caglar Oflazoglu and Serdar Yildirim

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:26

    Content type: Research

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  4. The performance of thresholding-based methods for speech enhancement largely depends upon the estimation of the exact threshold value. In this paper, a new thresholding-based speech enhancement approach, where...

    Authors: Tahsina Farah Sanam and Celia Shahnaz

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:25

    Content type: Research

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  5. This paper investigates multi-modal aspects of audiovisual quality assessment for interactive communication services. It shows how perceived auditory and visual qualities integrate to an overall audiovisual qu...

    Authors: Benjamin Belmudez and Sebastian Möller

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:24

    Content type: Research

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  6. Query-by-Example Spoken Term Detection (QbE STD) aims at retrieving data from a speech data repository given an acoustic query containing the term of interest as input. Nowadays, it has been receiving much int...

    Authors: Javier Tejedor, Doroteo T Toledano, Xavier Anguera, Amparo Varona, Lluís F Hurtado, Antonio Miguel and José Colás

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:23

    Content type: Research

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  7. The recurrent neural network language model (RNNLM) has shown significant promise for statistical language modeling. In this work, a new class-based output layer method is introduced to further improve the RNN...

    Authors: Yongzhe Shi, Wei-Qiang Zhang, Jia Liu and Michael T Johnson

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:22

    Content type: Research

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  8. This paper proposes a novel and robust voice activity detection (VAD) algorithm utilizing long-term spectral flatness measure (LSFM) which is capable of working at 10 dB and lower signal-to-noise ratios(SNRs)....

    Authors: Yanna Ma and Akinori Nishihara

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:87

    Content type: Research

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    The Erratum to this article has been published in EURASIP Journal on Audio, Speech, and Music Processing 2015 2015:30

  10. Many features have been proposed for speech-based emotion recognition, and a majority of them are frame based or statistics estimated from frame-based features. Temporal information is typically modelled on a ...

    Authors: Vidhyasaharan Sethu, Eliathamby Ambikairajah and Julien Epps

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:19

    Content type: Research

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  11. Nonnegative matrix factorization (NMF) is developed for parts-based representation of nonnegative signals with the sparseness constraint. The signals are adequately represented by a set of basis vectors and th...

    Authors: Jen-Tzung Chien and Hsin-Lung Hsieh

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:18

    Content type: Research

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  12. In this study, we focus on the classification of neutral and stressed speech based on a physical model. In order to represent the characteristics of the vocal folds and vocal tract during the process of speech...

    Authors: Xiao Yao, Takatoshi Jitsuhiro, Chiyomi Miyajima, Norihide Kitaoka and Kazuya Takeda

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:17

    Content type: Research

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  13. This paper presents a bimodal acoustic-visual synthesis technique that concurrently generates the acoustic speech signal and a 3D animation of the speaker’s outer face. This is done by concatenating bimodal di...

    Authors: Slim Ouni, Vincent Colotte, Utpala Musti, Asterios Toutios, Brigitte Wrobel-Dautcourt, Marie-Odile Berger and Caroline Lavecchia

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:16

    Content type: Research

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  14. Most existing automatic chord recognition systems use a chromagram in front-end processing and some sort of classifier (e.g., hidden Markov model, Gaussian mixture model (GMM), support vector machine, or other...

    Authors: Maksim Khadkevich and Maurizio Omologo

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:15

    Content type: Research

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  15. Cochannel speech separation aims to separate two speech signals from a single mixture. In a supervised scenario, the identities of two speakers are given, and current methods use pre-trained speaker models for...

    Authors: Ke Hu and DeLiang Wang

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:14

    Content type: Research

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  16. A challenging open question in music classification is which music representation (i.e., audio features) and which machine learning algorithm is appropriate for a specific music classification task. To address...

    Authors: Yannis Panagakis and Constantine Kotropoulos

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:13

    Content type: Research

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  17. Multiple-model based speech recognition (MMSR) has been shown to be quite successful in noisy speech recognition. Since it employs multiple hidden Markov model (HMM) sets that correspond to various noise types...

    Authors: Yongjoo Chung and John HL Hansen

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:12

    Content type: Research

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  19. A novel speech bandwidth extension method based on audio watermark is presented in this paper. The time-domain and frequency-domain envelope parameters are extracted from the high-frequency components of speec...

    Authors: Zhe Chen, Chengyong Zhao, Guosheng Geng and Fuliang Yin

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:10

    Content type: Research

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  20. This paper presents a novel lossless compression technique of the context-based adaptive arithmetic coding which can be used to further compress the quantized parameters in audio codec. The key feature of the ...

    Authors: Jing Wang, Xuan Ji, Shenghui Zhao, Xiang Xie and Jingming Kuang

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:9

    Content type: Research

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  21. This article analyzes and compares influence of different types of spectral and prosodic features for Czech and Slovak emotional speech classification based on Gaussian mixture models (GMM). Influence of initi...

    Authors: Jiří Přibil and Anna Přibilová

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:8

    Content type: Research

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  22. In this article, we describe a speaker adaptation method based on the probabilistic 2-mode analysis of training models. Probabilistic 2-mode analysis is a probabilistic extension of multilinear analysis. We ap...

    Authors: Yongwon Jeong

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:7

    Content type: Research

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  23. Availability of large amounts of raw unlabeled data has sparked the recent surge in semi-supervised learning research. In most works, however, it is assumed that labeled and unlabeled data come from the same d...

    Authors: Konstantin Markov and Tomoko Matsui

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:6

    Content type: Research

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  24. A comprehensive system for facial animation of generic 3D head models driven by speech is presented in this article. In the training stage, audio-visual information is extracted from audio-visual training data...

    Authors: Lucas D Terissi, Mauricio Cerda, Juan C Gómez, Nancy Hitschfeld-Kahler and Bernard Girau

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:5

    Content type: Research

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  25. Blind source separation (BSS) and sound activity detection (SAD) from a sound source mixture with minimum prior information are two major requirements for computational auditory scene analysis that recognizes ...

    Authors: Kohei Nagira, Takuma Otsuka and Hiroshi G Okuno

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:4

    Content type: Research

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  26. We propose an efficient solution to the problem of sparse linear prediction analysis of the speech signal. Our method is based on minimization of a weighted l2-norm of the prediction error. The weighting function...

    Authors: Vahid Khanagha and Khalid Daoudi

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:3

    Content type: Research

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  27. A lot of effort has been made in Computational Auditory Scene Analysis (CASA) to segregate target speech from monaural mixtures. Based on the principle of CASA, this article proposes an improved algorithm for ...

    Authors: Wang Yu, Lin Jiajun, Chen Ning and Yuan Wenhao

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:2

    Content type: Research

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  28. The work presented in this article studies how the context information can be used in the automatic sound event detection process, and how the detection system can benefit from such information. Humans are usi...

    Authors: Toni Heittola, Annamaria Mesaros, Antti Eronen and Tuomas Virtanen

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:1

    Content type: Research

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  29. This article describes a modified technique for enhancing noisy speech to improve automatic speech recognition (ASR) performance. The proposed approach improves the widely used spectral subtraction which inher...

    Authors: Hari Krishna Maganti and Marco Matassoni

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:29

    Content type: Research

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  31. Conventional parametric stereo (PS) audio coding employs inter-channel phase difference and overall phase difference as phase parameters. In this article, it is shown that those parameters cannot correctly rep...

    Authors: Dong-il Hyun, Young-cheol Park and Dae Hee Youn

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:27

    Content type: Research

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  32. In this article, the authors propose an optimally designed fixed beamformer (BF) for stereophonic acoustic echo cancelation (SAEC) in real hands-free communication applications. Several contributions related t...

    Authors: Matteo Pirro, Stefano Squartini, Laura Romoli and Francesco Piazza

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:26

    Content type: Research

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  33. The rapid spread in digital data usage in many real life applications have urged new and effective ways to ensure their security. Efficient secrecy can be achieved, at least in part, by implementing steganogra...

    Authors: Fatiha Djebbar, Beghdad Ayad, Karim Abed Meraim and Habib Hamam

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:25

    Content type: Review

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  34. Mood is an important aspect of music and knowledge of mood can be used as a basic feature in music recommender and retrieval systems. A listening experiment was carried out establishing ratings for various moo...

    Authors: Bert den Brinker, Ralph van Dinther and Janto Skowronek

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:24

    Content type: Research

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  35. A vast amount of audio features have been proposed in the literature to characterize the content of audio signals. In order to overcome specific problems related to the existing features (such as lack of discrimi...

    Authors: Toni Mäkinen, Serkan Kiranyaz, Jenni Raitoharju and Moncef Gabbouj

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:23

    Content type: Research

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  36. Humans exhibit a remarkable ability to reliably classify sound sources in the environment even in presence of high levels of noise. In contrast, most engineering systems suffer a drastic drop in performance wh...

    Authors: Sridhar Krishna Nemala, Dmitry N Zotkin, Ramani Duraiswami and Mounya Elhilali

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:22

    Content type: Research

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  38. A new method to secure speech communication using the discrete wavelet transforms (DWT) and the fast Fourier transform is presented in this article. In the first phase of the hiding technique, we separate the ...

    Authors: Siwar Rekik, Driss Guerchi, Sid-Ahmed Selouani and Habib Hamam

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:20

    Content type: Research

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  39. In this article, we present the evaluation results for the task of speaker diarization of broadcast news, which was part of the Albayzin 2010 evaluation campaign of language and speech technologies. The evalua...

    Authors: Martin Zelenák, Henrik Schulz and Javier Hernando

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:19

    Content type: Research

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  40. Dance movements are a complex class of human behavior which convey forms of non-verbal and subjective communication that are performed as cultural vocabularies in all human cultures. The singularity of dance f...

    Authors: João Lobato Oliveira, Luiz Naveda, Fabien Gouyon, Luis Paulo Reis, Paulo Sousa and Marc Leman

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:18

    Content type: Research

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  42. In this article, we propose a new set of acoustic features for automatic emotion recognition from audio. The features are based on the perceptual quality metrics that are given in perceptual evaluation of audi...

    Authors: Mehmet Cenk Sezgin, Bilge Gunsel and Gunes Karabulut Kurt

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:16

    Content type: Research

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  43. An increasing number of multilingual applications require language recognition (LRE) as a frontend, but desire low additional computational cost. This article demonstrates a novel architecture for embedding ph...

    Authors: Yuxiang Shan, Yan Deng, Jia Liu and Michael T Johnson

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:15

    Content type: Research

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  44. The problem of blind source separation (BSS) of convolved acoustic signals is of great interest for many classes of applications. Due to the convolutive mixing process, the source separation is performed in th...

    Authors: Eugen Hoffmann, Dorothea Kolossa, Bert-Uwe Köhler and Reinhold Orglmeister

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:14

    Content type: Research

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  45. A novel approach for robust dialogue act detection in a spoken dialogue system is proposed. Shallow representation named partial sentence trees are employed to represent automatic speech recognition outputs. P...

    Authors: Chia-Ping Chen, Chung-Hsien Wu and Wei-Bin Liang

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:13

    Content type: Research

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  46. As fundamental research for human-robot interaction, this paper addresses the rhythmic reference of a human while turning a rope with another human. We hypothyzed that when interpreting rhythm cues to make a r...

    Authors: Kenta Yonekura, Chyon Hae Kim, Kazuhiro Nakadai, Hiroshi Tsujino and Shigeki Sugano

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:12

    Content type: Research

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  48. This article proposes a new acoustic model using decision trees (DTs) as replacements for Gaussian mixture models (GMM) to compute the observation likelihoods for a given hidden Markov model state in a speech ...

    Authors: Masami Akamine and Jitendra Ajmera

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:10

    Content type: Research

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  49. A study on force-feedback interaction with a model of a neural oscillator provides insight into enhanced human-robot interactions for controlling musical sound. We provide differential equations and discrete-t...

    Authors: Edgar Berdahl, Claude Cadoz and Nicolas Castagné

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:9

    Content type: Research

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  50. Interaction with human musicians is a challenging task for robots as it involves online perception and precise synchronization. In this paper, we present a consistent and theoretically sound framework for comb...

    Authors: Umut Şimşekli, Orhan Sönmez, Barış Kurt Kurt and Ali Taylan Cemgil

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2012 2012:8

    Content type: Research

    Published on:

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  • ISSN: 1687-4722 (electronic)