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EURASIP Journal on Audio, Speech, and Music Processing
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Articles

Page 4 of 7

  1. It was recently shown that delta-sigma quantization (DSQ) can be used for optimal multiple description (MD) coding of Gaussian sources. The DSQ scheme combined oversampling, prediction, and noise-shaping in or...

    Authors: Jack Leegaard, Jan Østergaard, Søren Holdt Jensen and Ram Zamir

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:16

    Content type: Research

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  2. Previously, a dereverberation method based on generalized spectral subtraction (GSS) using multi-channel least mean-squares (MCLMS) has been proposed. The results of speech recognition experiments showed that ...

    Authors: Zhaofeng Zhang, Longbiao Wang and Atsuhiko Kai

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:15

    Content type: Research

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  3. The robustness of n-gram language models depends on the quality of text data on which they have been trained. The text corpora collected from various resources such as web pages or electronic documents are charac...

    Authors: Ján Staš, Jozef Juhár and Daniel Hládek

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:14

    Content type: Research

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  4. We present a feature enhancement method that uses neural networks (NNs) to map the reverberant feature in a log-melspectral domain to its corresponding anechoic feature. The mapping is done by cascade NNs trai...

    Authors: Aditya Arie Nugraha, Kazumasa Yamamoto and Seiichi Nakagawa

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:13

    Content type: Research

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  5. Decision tree-clustered context-dependent hidden semi-Markov models (HSMMs) are typically used in statistical parametric speech synthesis to represent probability densities of acoustic features given contextua...

    Authors: Soheil Khorram, Hossein Sameti, Fahimeh Bahmaninezhad, Simon King and Thomas Drugman

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:12

    Content type: Research

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  6. Eigenphone-based speaker adaptation outperforms conventional maximum likelihood linear regression (MLLR) and eigenvoice methods when there is sufficient adaptation data. However, it suffers from severe over-fi...

    Authors: Wen-Lin Zhang, Wei-Qiang Zhang, Dan Qu and Bi-Cheng Li

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:11

    Content type: Research

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  7. Three-dimensional (3D) audio technologies are booming with the success of 3D video technology. The surge in audio channels makes its huge data unacceptable for transmitting bandwidth and storage media, and the...

    Authors: Shi Dong, Ruimin Hu, Xiaochen Wang, Yuhong Yang and Weiping Tu

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:10

    Content type: Research

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  8. An approach is proposed for creating location-specific audio textures for virtual location-exploration services. The presented approach creates audio textures by processing a small amount of audio recorded at ...

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

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:9

    Content type: Research

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  9. In this paper, an analytical approach to estimate the instantaneous frequencies of a multicomponent signal is presented. A non-stationary signal composed of oscillation modes or resonances is described by a mu...

    Authors: Mohammadali Sebghati, Hamidreza Amindavar and James A Ritcey

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:8

    Content type: Research

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  10. This paper presents an optical music recognition (OMR) system to process the handwritten musical scores of Kunqu Opera written in Gong-Che Notation (GCN). First, it introduces the background of Kunqu Opera and GC...

    Authors: Gen-Fang Chen and Jia-Shing Sheu

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:7

    Content type: Research

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  12. We present in this paper a voice conversion (VC) method for a person with an articulation disorder resulting from athetoid cerebral palsy. The movement of such speakers is limited by their athetoid symptoms, a...

    Authors: Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi and Yasuo Ariki

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:5

    Content type: Research

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  13. We propose a novel approach of integrating exemplar-based template matching with statistical modeling to improve continuous speech recognition. We choose the template unit to be context-dependent phone segment...

    Authors: Xie Sun and Yunxin Zhao

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:4

    Content type: Research

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  14. This paper proposes a new aliasing cancelation algorithm for the transition between non-aliased coding and transform coding with time domain aliasing cancelation (TDAC). It is effectively utilized for unified ...

    Authors: Jeongook Song and Hong-Goo Kang

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:3

    Content type: Research

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  15. We propose an integrative method of recognizing gestures such as pointing, accompanying speech. Speech generated simultaneously with gestures can assist in the recognition of gestures, and since this occurs in...

    Authors: Madoka Miki, Norihide Kitaoka, Chiyomi Miyajima, Takanori Nishino and Kazuya Takeda

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:2

    Content type: Research

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  16. Bandwidth extension is an effective technique for enhancing the quality of audio signals by reconstructing their high-frequency components. In this paper, a novel blind bandwidth extension method is proposed b...

    Authors: Chang-Chun Bao, Xin Liu, Yong-Tao Sha and Xing-Tao Zhang

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:1

    Content type: Research

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  17. Prosody and prosodic boundaries carry significant information regarding linguistics and paralinguistics and are important aspects of speech. In the field of prosodic event detection, many local acoustic featur...

    Authors: Junhong Zhao, Wei-Qiang Zhang, Hua Yuan, Michael T Johnson, Jia Liu and Shanhong Xia

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:30

    Content type: Research

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  18. In this paper, we propose a novel noise-robustness method known as weighted sub-band histogram equalization (WS-HEQ) to improve speech recognition accuracy in noise-corrupted environments. Considering the obse...

    Authors: Jeih-weih Hung and Hao-teng Fan

    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2013 2013:29

    Content type: Research

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  19. 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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  20. 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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  21. 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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  22. 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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  23. 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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  24. 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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  25. 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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  26. 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

  28. 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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  29. 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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  30. 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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  31. 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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  32. 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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  33. 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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  34. 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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  35. 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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  37. 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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  38. 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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  39. 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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  40. 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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  41. 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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  42. 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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  43. 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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  44. 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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  45. 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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  46. 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

    Published on:

  47. 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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  49. 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

    Published on:

  50. 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

    Published on:

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  • ISSN: 1687-4722 (electronic)

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