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EURASIP Journal on Audio, Speech, and Music Processing
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Page 5 of 11

  1. 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 Published on:

  2. 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 Published on:

  3. 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 Published on:

  4. 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:

  5. 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:

  6. 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:

  7. 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:

  9. In response to renewed interest in virtual and augmented reality, the need for high-quality spatial audio systems has emerged. The reproduction of immersive and realistic virtual sound requires high resolution...

    Authors: Zamir Ben-Hur, David Lou Alon, Boaz Rafaely and Ravish Mehra
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:5
    Content type: Research Published on:

  10. This paper proposes two novel linguistic features extracted from text input for prosody generation in a Mandarin text-to-speech system. The first feature is the punctuation confidence (PC), which measures the ...

    Authors: Chen-Yu Chiang, Yu-Ping Hung, Han-Yun Yeh, I-Bin Liao and Chen-Ming Pan
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:4
    Content type: Research Published on:

  11. Current automatic speech recognition (ASR) systems achieve over 90–95% accuracy, depending on the methodology applied and datasets used. However, the level of accuracy decreases significantly when the same ASR...

    Authors: Kacper Radzikowski, Robert Nowak, Le Wang and Osamu Yoshie
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:3
    Content type: Research Published on:

  13. Filter banks on spectrums play an important role in many audio applications. Traditionally, the filters are linearly distributed on perceptual frequency scale such as Mel scale. To make the output smoother, th...

    Authors: Teng Zhang and Ji Wu
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2019 2019:1
    Content type: Research Published on:

  14. This paper deals with a project of Automatic Bird Species Recognition Based on Bird Vocalization. Eighteen bird species of 6 different families were analyzed. At first, human factor cepstral coefficients repre...

    Authors: Jiri Stastny, Michal Munk and Lubos Juranek
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:19
    Content type: Research Published on:

  15. A transfer learning-based end-to-end speech recognition approach is presented in two levels in our framework. Firstly, a feature extraction approach combining multilingual deep neural network (DNN) training wi...

    Authors: Chu-Xiong Qin, Dan Qu and Lian-Hai Zhang
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:18
    Content type: Research Published on:

  16. In this paper, a web-based spoken dialog generation environment which enables users to edit dialogs with a video virtual assistant is developed and to also select the 3D motions and tone of voice for the assis...

    Authors: Ryota Nishimura, Daisuke Yamamoto, Takahiro Uchiya and Ichi Takumi
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:17
    Content type: Research Published on:

  17. In this paper, a robust and highly imperceptible audio watermarking technique is presented based on discrete cosine transform (DCT) and singular value decomposition (SVD). The low-frequency components of the a...

    Authors: Aniruddha Kanhe and Aghila Gnanasekaran
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:16
    Content type: Research Published on:

  18. The emerging field of computational acoustic monitoring aims at retrieving high-level information from acoustic scenes recorded by some network of sensors. These networks gather large amounts of data requiring...

    Authors: Vincent Lostanlen, Grégoire Lafay, Joakim Andén and Mathieu Lagrange
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:15
    Content type: Research Published on:

  19. Several factors contribute to the performance of speaker diarization systems. For instance, the appropriate selection of speech features is one of the key aspects that affect speaker diarization systems. The o...

    Authors: Abraham Woubie Zewoudie, Jordi Luque and Javier Hernando
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:14
    Content type: Research Published on:

  21. Recently, sound recognition has been used to identify sounds, such as the sound of a car, or a river. However, sounds have nuances that may be better described by adjective-noun pairs such as “slow car” and ve...

    Authors: Sebastian Säger, Benjamin Elizalde, Damian Borth, Christian Schulze, Bhiksha Raj and Ian Lane
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:12
    Content type: Research Published on:

  22. As the foundation of many applications, multipitch estimation problem has always been the focus of acoustic music processing; however, existing algorithms perform deficiently due to its complexity. In this pap...

    Authors: Xingda Li, Yujing Guan, Yingnian Wu and Zhongbo Zhang
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:11
    Content type: Research Published on:

  23. Voice activity detection (VAD) is an important preprocessing step for various speech applications to identify speech and non-speech periods in input signals. In this paper, we propose a deep neural network (DN...

    Authors: Suci Dwijayanti, Kei Yamamori and Masato Miyoshi
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:10
    Content type: Research Published on:

  24. The performance of automatic speech recognition systems degrades in the presence of emotional states and in adverse environments (e.g., noisy conditions). This greatly limits the deployment of speech recogniti...

    Authors: Meysam Bashirpour and Masoud Geravanchizadeh
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:9
    Content type: Research Published on:

  25. The successful treatment of hearing loss depends on the individual practitioner’s experience and skill. So far, there is no standard available to evaluate the practitioner’s testing skills. To assess every pra...

    Authors: Alexander Kocian, Guido Cattani, Stefano Chessa and Wilko Grolman
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:8
    Content type: Research Published on:

  27. Recurrent neural networks (RNNs) have shown an ability to model temporal dependencies. However, the problem of exploding or vanishing gradients has limited their application. In recent years, long short-term m...

    Authors: Jian Kang, Wei-Qiang Zhang, Wei-Wei Liu, Jia Liu and Michael T. Johnson
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:6
    Content type: Research Published on:

  30. The speech intelligibility of indoor public address systems is degraded by reverberation and background noise. This paper proposes a preprocessing method that combines speech enhancement and inverse filtering ...

    Authors: Huan-Yu Dong and Chang-Myung Lee
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:3
    Content type: Research Published on:

  31. Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input. This paper presents the systems su...

    Authors: Javier Tejedor, Doroteo T. Toledano, Paula Lopez-Otero, Laura Docio-Fernandez, Jorge Proença, Fernando Perdigão, Fernando García-Granada, Emilio Sanchis, Anna Pompili and Alberto Abad
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:2
    Content type: Research Published on:

  32. Automatic extraction of acoustic regions of interest from recordings captured in realistic clinical environments is a necessary preprocessing step in any cry analysis system. In this study, we propose a hidden...

    Authors: Gaurav Naithani, Jaana Kivinummi, Tuomas Virtanen, Outi Tammela, Mikko J. Peltola and Jukka M. Leppänen
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2018 2018:1
    Content type: Research Published on:

  33. Audio signals are a type of high-dimensional data, and their clustering is critical. However, distance calculation failures, inefficient index trees, and cluster overlaps, derived from the equidistance, redund...

    Authors: Wenfa Li, Gongming Wang and Ke Li
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:26
    Content type: Research Published on:

  34. In speech enhancement, noise power spectral density (PSD) estimation plays a key role in determining appropriate de-nosing gains. In this paper, we propose a robust noise PSD estimator for binaural speech enha...

    Authors: Youna Ji, Yonghyun Baek and Young-cheol Park
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:25
    Content type: Research Published on:

  35. Large vocabulary continuous speech recognition (LVCSR) has naturally been demanded for transcribing daily conversations, while developing spoken text data to train LVCSR is costly and time-consuming. In this p...

    Authors: Vataya Chunwijitra and Chai Wutiwiwatchai
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:24
    Content type: Research Published on:

  36. Robustness against background noise is a major research area for speech-related applications such as speech recognition and speaker recognition. One of the many solutions for this problem is to detect speech-d...

    Authors: Gökay Dişken, Zekeriya Tüfekci and Ulus Çevik
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:23
    Content type: Research Published on:

  37. Within search-on-speech, Spoken Term Detection (STD) aims to retrieve data from a speech repository given a textual representation of a search term. This paper presents an international open evaluation for sea...

    Authors: Javier Tejedor, Doroteo T. Toledano, Paula Lopez-Otero, Laura Docio-Fernandez, Luis Serrano, Inma Hernaez, Alejandro Coucheiro-Limeres, Javier Ferreiros, Julia Olcoz and Jorge Llombart
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:22
    Content type: Research Published on:

  38. The task of speaker diarization is to answer the question "who spoke when?" In this paper, we present different clustering approaches which consist of Evolutionary Computation Algorithms (ECAs) such as Genetic...

    Authors: Karim Dabbabi, Salah Hajji and Adnen Cherif
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:21
    Content type: Research Published on:

  41. An artificial neural network is an important model for training features of voice conversion (VC) tasks. Typically, neural networks (NNs) are very effective in processing nonlinear features, such as Mel Cepstr...

    Authors: Zhaojie Luo, Jinhui Chen, Tetsuya Takiguchi and Yasuo Ariki
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:18
    Content type: Research Published on:

  42. Audio fingerprinting has been an active research field typically used for music identification. Robust audio fingerprinting technology is used to successfully perform content-based audio identification regardl...

    Authors: Dominic Williams, Akash Pooransingh and Jesse Saitoo
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:17
    Content type: Research Published on:

  43. In this paper, we present a voice conversion (VC) method that does not use any parallel data while training the model. Voice conversion is a technique where only speaker-specific information in the source spee...

    Authors: Toru Nakashika and Yasuhiro Minami
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:16
    Content type: Research Published on:

  44. Onset detection still has room for improvement, especially when dealing with polyphonic music signals. For certain purposes in which the correctness of the result is a must, user intervention is hence required...

    Authors: Jose J. Valero-Mas and José M. Iñesta
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:15
    Content type: Research Published on:

  45. Speech synthesis has been applied in many kinds of practical applications. Currently, state-of-the-art speech synthesis uses statistical methods based on hidden Markov model (HMM). Speech synthesized by statis...

    Authors: Gia-Nhu Nguyen and Trung-Nghia Phung
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:14
    Content type: Research Published on:

  46. Autocorrelation domain is a proper domain for clean speech signal and noise separation. In this paper, a method is proposed to decrease effects of noise on the clean speech signal, autocorrelation-based noise ...

    Authors: Gholamreza Farahani
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:13
    Content type: Research Published on:

  47. Various musical descriptors have been developed for Cover Song Identification (CSI). However, different descriptors are based on various assumptions, designed for representing distinct characteristics of music...

    Authors: Ning Chen, Mingyu Li and Haidong Xiao
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:12
    Content type: Research Published on:

  48. The automatic sound event classification (SEC) has attracted a growing attention in recent years. Feature extraction is a critical factor in SEC system, and the deep neural network (DNN) algorithms have achiev...

    Authors: Junjie Zhang, Jie Yin, Qi Zhang, Jun Shi and Yan Li
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:11
    Content type: Research Published on:

  49. This paper outlines a package synchronization scheme for blind speech watermarking in the discrete wavelet transform (DWT) domain. Following two-level DWT decomposition, watermark bits and synchronization code...

    Authors: Hwai-Tsu Hu, Shiow-Jyu Lin and Ling-Yuan Hsu
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:10
    Content type: Research Published on:

  50. With the exponential growth in computing power and progress in speech recognition technology, spoken dialog systems (SDSs) with which a user interacts through natural speech has been widely used in human-compu...

    Authors: Chung-Hsien Wu, Ming-Hsiang Su and Wei-Bin Liang
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2017 2017:9
    Content type: Research Published on:
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  • Citation Impact 2023
    Journal Impact Factor: 1.7
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    Source Normalized Impact per Paper (SNIP): 1.051
    SCImago Journal Rank (SJR): 0.414

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  • ISSN: 1687-4722 (electronic)