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EURASIP Journal on Audio, Speech, and Music Processing
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Page 7 of 11

  1. Deep neural network (DNN)-based approaches have been shown to be effective in many automatic speech recognition systems. However, few works have focused on DNNs for distant-talking speaker recognition. In this...

    Authors: Zhaofeng Zhang, Longbiao Wang, Atsuhiko Kai, Takanori Yamada, Weifeng Li and Masahiro Iwahashi
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2015 2015:12
    Content type: Research Published on:

  2. Estimating the directions of arrival (DOAs) of multiple simultaneous mobile sound sources is an important step for various audio signal processing applications. In this contribution, we present an approach tha...

    Authors: Caleb Rascon, Gibran Fuentes and Ivan Meza
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2015 2015:11
    Content type: Research Published on:

  3. Acoustic data transmission (ADT) forms a branch of the audio data hiding techniques with its capability of communicating data in short-range aerial space between a loudspeaker and a microphone. In this paper, ...

    Authors: Kiho Cho, Jae Choi and Nam Soo Kim
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2015 2015:10
    Content type: Research Published on:

  4. Automatic diagnosis and monitoring of Alzheimer’s disease can have a significant impact on society as well as the well-being of patients. The part of the brain cortex that processes language abilities is one o...

    Authors: Ali Khodabakhsh, Fatih Yesil, Ekrem Guner and Cenk Demiroglu
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2015 2015:9
    Content type: Research Published on:

  5. This paper presents a voice conversion (VC) method that utilizes conditional restricted Boltzmann machines (CRBMs) for each speaker to obtain high-order speaker-independent spaces where voice features are conv...

    Authors: Toru Nakashika, Tetsuya Takiguchi and Yasuo Ariki
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2015 2015:8
    Content type: Research Published on:

  6. Automatic forensic voice comparison (FVC) systems employed in forensic casework have often relied on Gaussian Mixture Model - Universal Background Models (GMM-UBMs) for modelling with relatively little researc...

    Authors: Chee Cheun Huang, Julien Epps and Tharmarajah Thiruvaran
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2015 2015:7
    Content type: Research Published on:

  7. Music identification via audio fingerprinting has been an active research field in recent years. In the real-world environment, music queries are often deformed by various interferences which typically include...

    Authors: Xiu Zhang, Bilei Zhu, Linwei Li, Wei Li, Xiaoqiang Li, Wei Wang, Peizhong Lu and Wenqiang Zhang
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2015 2015:6
    Content type: Research Published on:

  9. Owing to the suprasegmental behavior of emotional speech, turn-level features have demonstrated a better success than frame-level features for recognition-related tasks. Conventionally, such features are obtai...

    Authors: Mohit Shah, Chaitali Chakrabarti and Andreas Spanias
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2015 2015:4
    Content type: Research Published on:

  10. In this paper, an initial feature vector based on the combination of the wavelet packet decomposition (WPD) and the Mel frequency cepstral coefficients (MFCCs) is proposed. For optimizing the initial feature v...

    Authors: Vahid Majidnezhad
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2015 2015:3
    Content type: Research Published on:

  11. Deep neural networks (DNNs) have gained remarkable success in speech recognition, partially attributed to the flexibility of DNN models in learning complex patterns of speech signals. This flexibility, however...

    Authors: Shi Yin, Chao Liu, Zhiyong Zhang, Yiye Lin, Dong Wang, Javier Tejedor, Thomas Fang Zheng and Yinguo Li
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2015 2015:2
    Content type: Research Published on:

  12. Vocal tremor has been simulated using a high-dimensional discrete vocal fold model. Specifically, respiratory, phonatory, and articulatory tremors have been modeled as instabilities in six parameters of the mo...

    Authors: Rubén Fraile, Juan Ignacio Godino-Llorente and Malte Kob
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2015 2015:1
    Content type: Research Published on:

  13. Currently, acoustic spoken language recognition (SLR) and phonotactic SLR systems are widely used language recognition systems. To achieve better performance, researchers combine multiple subsystems with the r...

    Authors: Wei-Wei Liu, Wei-Qiang Zhang, Michael T Johnson and Jia Liu
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:42
    Content type: Research Published on:

  14. Speech technology is firmly rooted in daily life, most notably in command-and-control (C&C) applications. C&C usability downgrades quickly, however, when used by people with non-standard speech. We pursue a fu...

    Authors: Bart Ons, Jort F Gemmeke and Hugo Van hamme
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:43
    Content type: Research Published on:

  17. The full modulation spectrum is a high-dimensional representation of one-dimensional audio signals. Most previous research in automatic speech recognition converted this very rich representation into the equiv...

    Authors: Sara Ahmadi, Seyed Mohammad Ahadi, Bert Cranen and Lou Boves
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:36
    Content type: Research Published on:

  18. Building a voice-operated system for learning disabled users is a difficult task that requires a considerable amount of time and effort. Due to the wide spectrum of disabilities and their different related pho...

    Authors: Marek Bohac, Michaela Kucharova, Zoraida Callejas, Jan Nouza and Petr Červa
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:39
    Content type: Research Published on:

  20. In this paper, we propose a semi-blind, imperceptible, and robust digital audio watermarking algorithm. The proposed algorithm is based on cascading two well-known transforms: the discrete wavelet transform an...

    Authors: Ali Al-Haj
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:37
    Content type: Research Published on:

  21. Model-based speech enhancement algorithms that employ trained models, such as codebooks, hidden Markov models, Gaussian mixture models, etc., containing representations of speech such as linear predictive coef...

    Authors: Devireddy Hanumantha Rao Naidu and Sriram Srinivasan
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:35
    Content type: Research Published on:

  22. The task of automatic retrieval and extraction of lyrics from the web is of great importance to different Music Information Retrieval applications. However, despite its importance, very little research has bee...

    Authors: Rafael P Ribeiro, Murilo AP Almeida and Carlos N Silla Jr
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:27
    Content type: Research Published on:

  23. This paper studies a novel audio segmentation-by-classification approach based on factor analysis. The proposed technique compensates the within-class variability by using class-dependent factor loading matric...

    Authors: Diego Castán, Alfonso Ortega, Antonio Miguel and Eduardo Lleida
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:34
    Content type: Research Published on:

  24. This paper proposes a new speech enhancement (SE) algorithm utilizing constraints to the Wiener gain function which is capable of working at 10 dB and lower signal-to-noise ratios (SNRs). The wavelet threshold...

    Authors: Yanna Ma and Akinori Nishihara
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:32
    Content type: Research Published on:

  25. The current paper examines influences of speech rate on Fujisaki model parameters based on read speech from the BonnTempo-Corpus containing productions by 12 native speakers of German at five different intende...

    Authors: Hansjörg Mixdorff, Adrian Leemann and Volker Dellwo
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:33
    Content type: Research Published on:

  26. In many speech communication applications, robust localization and tracking of multiple speakers in noisy and reverberant environments are of major importance. Several algorithms to tackle this problem have be...

    Authors: Stephan Gerlach, Jörg Bitzer, Stefan Goetze and Simon Doclo
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:31
    Content type: Research Published on:

  27. In a bid to enhance the search performance, this paper presents an improved version of reduced candidate mechanism (RCM), an algebraic codebook search conducted on an algebraic code-excited linear prediction (...

    Authors: Ning-Yun Ku, Cheng-Yu Yeh and Shaw-Hwa Hwang
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:30
    Content type: Research Published on:

  29. This paper proposes two novel approaches for parameter estimation of a superpositional intonation model. These approaches present linguistic and paralinguistic assumptions for initializing a pre-existing stand...

    Authors: Humberto M Torres, Jorge A Gurlekian, Hansjörg Mixdorff and Hartmut Pfitzinger
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:28
    Content type: Research Published on:

  30. In this paper, unsupervised learning is used to separate percussive and harmonic sounds from monaural non-vocal polyphonic signals. Our algorithm is based on a modified non-negative matrix factorization (NMF) ...

    Authors: Francisco Jesus Canadas-Quesada, Pedro Vera-Candeas, Nicolas Ruiz-Reyes, Julio Carabias-Orti and Pablo Cabanas-Molero
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:26
    Content type: Research Published on:

  31. Composers may not provide instructions for playing their works, especially for instrument solos, and therefore, different musicians may give very different interpretations of the same work. Such differences us...

    Authors: Yi-Ju Lin, Tien-Ming Wang, Ta-Chun Chen, Yin-Lin Chen, Wei-Chen Chang and Alvin WY Su
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:25
    Content type: Research Published on:

  33. This paper investigates the estimation of underlying articulatory targets of Thai vowels as invariant representation of vocal tract shapes by means of analysis-by-synthesis based on acoustic data. The basic id...

    Authors: Santitham Prom-on, Peter Birkholz and Yi Xu
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:23
    Content type: Research Published on:

  34. The paper describes an auditory processing-based feature extraction strategy for robust speech recognition in environments, where conventional automatic speech recognition (ASR) approaches are not successful. ...

    Authors: Hari Krishna Maganti and Marco Matassoni
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:21
    Content type: Research Published on:

  35. In this paper, a two-stage scheme is proposed to deal with the difficult problem of acoustic echo cancellation (AEC) in single-channel scenario in the presence of noise. In order to overcome the major challeng...

    Authors: Upal Mahbub, Shaikh Anowarul Fattah, Wei-Ping Zhu and M Omair Ahmad
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:20
    Content type: Research Published on:

  36. Neural network language models (NNLM) have been proved to be quite powerful for sequence modeling, including feed-forward NNLM (FNNLM), recurrent NNLM (RNNLM), etc. One main issue concerned for NNLM is the hea...

    Authors: Yongzhe Shi, Wei-Qiang Zhang, Meng Cai and Jia Liu
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:19
    Content type: Research Published on:

  37. When several acoustic sources are simultaneously active in a meeting room scenario, and both the position of the sources and the identity of the time-overlapped sound classes have been estimated, the problem o...

    Authors: Rupayan Chakraborty, Climent Nadeu and Taras Butko
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:18
    Content type: Research Published on:

  38. Speech enhancement has an increasing demand in mobile communications and faces a great challenge in a real ambient noisy environment. This paper develops an effective spatial-frequency domain speech enhancemen...

    Authors: Yue Xian Zou, Peng Wang, Yong Qing Wang, Christian H Ritz and Jiangtao Xi
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:17
    Content type: Research Published on:

  39. 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 Published on:

  40. 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 Published on:

  41. 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 Published on:

  42. 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 Published on:

  43. 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 Published on:

  44. 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 Published on:

  45. 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 Published on:

  46. 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 Published on:

  47. 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 Published on:

  48. 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 Published on:

  50. 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 Published on:
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  • Citation Impact 2023
    Journal Impact Factor: 1.7
    5-year Journal Impact Factor: 1.6
    Source Normalized Impact per Paper (SNIP): 1.051
    SCImago Journal Rank (SJR): 0.414

    Speed 2023
    Submission to first editorial decision (median days): 17
    Submission to acceptance (median days): 154

    Usage 2023
    Downloads: 368,607
    Altmetric mentions: 70

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  • ISSN: 1687-4722 (electronic)