EURASIP Journal on Audio, Speech, and Music Processing
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An improved i-vector extraction algorithm for speaker verification
EURASIP Journal on Audio, Speech, and Music Processing - Tập 2015 - Trang 1-9 - 2015
Over recent years, i-vector-based framework has been proven to provide state-of-the-art performance in speaker verification. Each utterance is projected onto a total factor space and is represented by a low-dimensional feature vector. Channel compensation techniques are carried out in this low-dimensional feature space. Most of the compensation techniques take the sets of extracted i-vectors as in......
Feature compensation based on the normalization of vocal tract length for the improvement of emotion-affected speech recognition
EURASIP Journal on Audio, Speech, and Music Processing - Tập 2021 - Trang 1-19 - 2021
The performance of speech recognition systems trained with neutral utterances degrades significantly when these systems are tested with emotional speech. Since everybody can speak emotionally in the real-world environment, it is necessary to take account of the emotional states of speech in the performance of the automatic speech recognition system. Limited works have been performed in the field o......
On the Utility of Syllable-Based Acoustic Models for Pronunciation Variation Modelling
EURASIP Journal on Audio, Speech, and Music Processing - - 2007
Recent research on the TIMIT corpus suggests that longer-length acoustic models are more appropriate for pronunciation variation modelling than the context-dependent phones that conventional automatic speech recognisers use. However, the impressive speech recognition results obtained with longer-length models on TIMIT remain to be reproduced on other corpora. To understand the conditions in which ......
An overview of machine learning and other data-based methods for spatial audio capture, processing, and reproduction
EURASIP Journal on Audio, Speech, and Music Processing - Tập 2022 - Trang 1-21 - 2022
The domain of spatial audio comprises methods for capturing, processing, and reproducing audio content that contains spatial information. Data-based methods are those that operate directly on the spatial information carried by audio signals. This is in contrast to model-based methods, which impose spatial information from, for example, metadata like the intended position of a source onto signals t......
Articulation constrained learning with application to speech emotion recognition
EURASIP Journal on Audio, Speech, and Music Processing - Tập 2019 - Trang 1-17 - 2019
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 method for emotion recognition using both articulator......
Adaptive V/UV Speech Detection Based on Characterization of Background Noise
EURASIP Journal on Audio, Speech, and Music Processing - Tập 2009 - Trang 1-12 - 2009
The paper presents an adaptive system for Voiced/Unvoiced (V/UV) speech detection in the presence of background noise. Genetic algorithms were used to select the features that offer the best V/UV detection according to the output of a background Noise Classifier (NC) and a Signal-to-Noise Ratio Estimation (SNRE) system. The system was implemented, and the tests performed using the TIMIT speech cor......
Robust image-in-audio watermarking technique based on DCT-SVD transform
EURASIP Journal on Audio, Speech, and Music Processing - Tập 2018 - Trang 1-12 - 2018
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 audio signal have been selectively embedded with watermark image data making the watermarked audio highly imperceptible and robust. The imperceptibility of proposed methods is evaluated by com......
Depression-level assessment from multi-lingual conversational speech data using acoustic and text features
EURASIP Journal on Audio, Speech, and Music Processing - Tập 2020 - Trang 1-17 - 2020
Depression is a widespread mental health problem around the world with a significant burden on economies. Its early diagnosis and treatment are critical to reduce the costs and even save lives. One key aspect to achieve that goal is to use technology and monitor depression remotely and relatively inexpensively using automated agents. There has been numerous efforts to automatically assess depressi......
Beyond the Big Five personality traits for music recommendation systems
EURASIP Journal on Audio, Speech, and Music Processing - Tập 2023 - Trang 1-17 - 2023
The aim of this paper is to investigate the influence of personality traits, characterized by the BFI (Big Five Inventory) and its significant revision called BFI-2, on music recommendation error. The BFI-2 describes the lower-order facets of the Big Five personality traits. We performed experiments with 279 participants, using an application (called Music Master) we developed for music listening ......
Speech emotion recognition based on emotion perception
EURASIP Journal on Audio, Speech, and Music Processing - Tập 2023 - Trang 1-7 - 2023
Speech emotion recognition (SER) is a hot topic in speech signal processing. With the advanced development of the cheap computing power and proliferation of research in data-driven methods, deep learning approaches are prominent solutions to SER nowadays. SER is a challenging task due to the scarcity of datasets and the lack of emotion perception. Most existing networks of SER are based on compute......
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