Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Tuna, Cagdas"'
We present a method for blind acoustic parameter estimation from single-channel reverberant speech. The method is structured into three stages. In the first stage, a variational auto-encoder is trained to extract latent representations of acoustic im
Externí odkaz:
http://arxiv.org/abs/2407.19989
Room geometry inference algorithms rely on the localization of acoustic reflectors to identify boundary surfaces of an enclosure. Rooms with highly absorptive walls or walls at large distances from the measurement setup pose challenges for such algor
Externí odkaz:
http://arxiv.org/abs/2402.06246
Knowing the room geometry may be very beneficial for many audio applications, including sound reproduction, acoustic scene analysis, and sound source localization. Room geometry inference (RGI) deals with the problem of reflector localization (RL) ba
Externí odkaz:
http://arxiv.org/abs/2308.14611
A study is presented in which a contrastive learning approach is used to extract low-dimensional representations of the acoustic environment from single-channel, reverberant speech signals. Convolution of room impulse responses (RIRs) with anechoic s
Externí odkaz:
http://arxiv.org/abs/2302.11205
A dataset of anechoic recordings of various sound sources encountered in domestic environments is presented. The dataset is intended to be a resource of non-stationary, environmental noise signals that, when convolved with acoustic impulse responses,
Externí odkaz:
http://arxiv.org/abs/2208.03023
Publikováno v:
In Applied Acoustics 5 January 2025 227
The estimation of reverberation time from real-world signals plays a central role in a wide range of applications. In many scenarios, acoustic conditions change over time which in turn requires the estimate to be updated continuously. Previously prop
Externí odkaz:
http://arxiv.org/abs/2202.11790
Akademický článek
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Akademický článek
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Publikováno v:
Journal of the Acoustical Society of America; Jun2023, Vol. 153 Issue 6, p3532-3542, 11p