Zobrazeno 1 - 10
of 4 835
pro vyhledávání: '"QC221-246"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-17 (2024)
Abstract Performing musical notes correctly does not mean that all the performers will play the notes at the exact same pitch and duration. However, it does imply that they are performing the notes within acceptable psychoacoustic ranges. Therefore,
Externí odkaz:
https://doaj.org/article/009b4424ded5428cb0ec5767e6f86104
Autor:
Eric Grinstein, Elisa Tengan, Bilgesu Çakmak, Thomas Dietzen, Leonardo Nunes, Toon van Waterschoot, Mike Brookes, Patrick A. Naylor
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-27 (2024)
Abstract In the last three decades, the Steered Response Power (SRP) method has been widely used for the task of Sound Source Localization (SSL), due to its satisfactory localization performance on moderately reverberant and noisy scenarios. Many wor
Externí odkaz:
https://doaj.org/article/06eb02a8470b4e5c94595899f38827c4
Autor:
Hanwen Bi, Thushara D. Abhayapala
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-14 (2024)
Abstract Machine learning and neural networks have advanced numerous research domains, but challenges such as large training data requirements and inconsistent model performance hinder their application in certain scientific problems. To overcome the
Externí odkaz:
https://doaj.org/article/a80b8f4e9c81417d8b5370fa8592f3ba
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-11 (2024)
Abstract Synthesis artifacts that span scales from small to large are important cues for spoofing detection. However, few spoofing detection models leverage artifacts across different scales together. In this paper, we propose a spoofing detection sy
Externí odkaz:
https://doaj.org/article/ea21ed20a568450594125710d075de29
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-14 (2024)
Abstract The degree of correlation between the sounds received by the ears significantly influences the spatial perception of a sound image. Audio signal decorrelation is, therefore, a commonly used tool in various spatial audio rendering application
Externí odkaz:
https://doaj.org/article/aa7ff43d1aa646bd9724627d8fcbf556
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-16 (2024)
Abstract Self-supervised learning for speech pre-training models has achieved remarkable success in acquiring superior speech contextual representations by learning from unlabeled audio, excelling in numerous downstream speech tasks. However, the pre
Externí odkaz:
https://doaj.org/article/22dd2237864a4756990308ecea310515
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-26 (2024)
Abstract Binaural audio recordings become increasingly popular in multimedia repositories, posing new challenges in indexing, searching, and retrieval of such excerpts in terms of their spatial audio scene characteristics. This paper presents a new m
Externí odkaz:
https://doaj.org/article/d581becc5d7d4b5b80316f9a73777b1d
Autor:
Usama Irshad, Rabbia Mahum, Ismaila Ganiyu, Faisal Shafique Butt, Lotfi Hidri, Tamer G. Ali, Ahmed M. El-Sherbeeny
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-18 (2024)
Abstract Over the past decade, the prevalence of neurological diseases has significantly risen due to population growth and aging. Individuals suffering from spastic paralysis, brain attack, and idiopathic Parkinson’s disease (PD), among other neur
Externí odkaz:
https://doaj.org/article/def87428b45b4bd0977d224a9fa0ba3d
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-20 (2024)
Abstract This paper proposes novel methods for extracting a single Speech signal of Interest (SOI) from a multichannel observed signal in underdetermined situations, i.e., when the observed signal contains more speech signals than microphones. It foc
Externí odkaz:
https://doaj.org/article/de6dfe3191c04d4e8c5ae94f52bbb48e
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-20 (2024)
Abstract Over the past few decades, extensive research has been devoted to the design of artificial reverberation algorithms aimed at emulating the room acoustics of physical environments. Despite significant advancements, automatic parameter tuning
Externí odkaz:
https://doaj.org/article/d45d76b34fce4e9a821ec88f419aa002