Takashima, Yuki Nakashika, Toru Takiguchi, Tetsuya Ariki, Yasuo
Published in
EURASIP Journal on Audio, Speech, and Music Processing
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)-based VC has been widely researched because of the natural-sounding voice it achieves when compared with conventional Gaussian mixture model-ba...
Tejedor, Javier Toledano, Doroteo T. Lopez-Otero, Paula Docio-Fernandez, Laura Montalvo, Ana R. Ramirez, Jose M. Peñagarikano, Mikel Rodriguez-Fuentes, Luis Javier
Published in
EURASIP Journal on Audio, Speech, and Music Processing
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 speech repository given a textual representation of a search term (which can include one or more words). This paper presents a multi-domain inter...
Giannoulis, Panagiotis Potamianos, Gerasimos Maragos, Petros
Published in
EURASIP Journal on Audio, Speech, and Music Processing
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 multi-module pipelines of such systems, speech activity detection (SAD) constitutes a crucial component, providing input to their activation ...
Shah, Mohit Tu, Ming Berisha, Visar Chakrabarti, Chaitali Spanias, Andreas
Published in
EURASIP Journal on Audio, Speech, and Music Processing
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 not be feasible in many scenarios, thus restricting the scope and applicability of such methods. In this paper, a discriminative learning met...
Tejedor, Javier Toledano, Doroteo T. Lopez-Otero, Paula Docio-Fernandez, Laura Peñagarikano, Mikel Rodriguez-Fuentes, Luis Javier Moreno-Sandoval, Antonio
Published in
EURASIP Journal on Audio, Speech, and Music Processing
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 from a speech repository given a spoken query. Research on this area is continuously fostered with the organization of QbE STD evaluations. Th...
He, Liang Chen, Xianhong Xu, Can Liu, Yi Liu, Jia Johnson, Michael T.
Published in
EURASIP Journal on Audio, Speech, and Music Processing
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 decisions in its iterations. In contrast to the VB method, which is based on a generative model, LCM provides a framework allowing both gene...
Jang, Byeong-Yong Heo, Woon-Haeng Kim, Jung-Hyun Kwon, Oh-Wook
Published in
EURASIP Journal on Audio, Speech, and Music Processing
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 broadcast data, where music, speech, and noise are mixed. The convolutional neural network is composed of a convolutional layer with kernel that i...
Loni, Deepali Y. Subbaraman, Shaila
Published in
EURASIP Journal on Audio, Speech, and Music Processing
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 enormous increase in production of movies and songs in Bollywood industry over the last 50 decades. Surveying this extensive dataset of singers, th...
de Benito-Gorron, Diego Lozano-Diez, Alicia Toledano, Doroteo T. Gonzalez-Rodriguez, Joaquin
Published in
EURASIP Journal on Audio, Speech, and Music Processing
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 signal modeling, where recurrent structures can take advantage of temporal dependencies. This work aims to study the implementation of several ...
Oo, Zeyan Wang, Longbiao Phapatanaburi, Khomdet Liu, Meng Nakagawa, Seiichi Iwahashi, Masahiro Dang, Jianwu
Published in
EURASIP Journal on Audio, Speech, and Music Processing
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. Recent studies demonstrate the success of the relative phase (RP) feature in speaker recognition/verification and the detection of synthesiz...
