Výsledky vyhledávání - "ideal binary mask"

Akademický článek

Joint Deep Neural Network for Single-Channel Speech Separation on Masking-Based Training Targets

Autor: Peng Chen, Binh Thien Nguyen, Yuting Geng, Kenta Iwai, Takanobu Nishiura

Publikováno v: IEEE Access, Vol 12, Pp 152036-152044 (2024)

Single-channel speech separation can be adopted in many applications. Time-frequency (T-F) masking is an effective method for single-channel speech separation. With advancements in deep learning, T-F masks have become used as a training target, achie

Externí odkaz: https://doaj.org/article/396c8c1864854165a624388e4c742608

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Akademický článek

Threshold-Based Combination of Ideal Binary Mask and Ideal Ratio Mask for Single-Channel Speech Separation

Autor: Peng Chen, Binh Thien Nguyen, Kenta Iwai, Takanobu Nishiura

Publikováno v: Information, Vol 15, Iss 10, p 608 (2024)

An effective approach to addressing the speech separation problem is utilizing a time–frequency (T-F) mask. The ideal binary mask (IBM) and ideal ratio mask (IRM) have long been widely used to separate speech signals. However, the IBM is better at

Externí odkaz: https://doaj.org/article/d669799ce8d34b1badb77dffb22ac884

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Akademický článek

Ensemble System of Deep Neural Networks for Single-Channel Audio Separation

Autor: Musab T. S. Al-Kaltakchi, Ahmad Saeed Mohammad, Wai Lok Woo

Publikováno v: Information, Vol 14, Iss 7, p 352 (2023)

Speech separation is a well-known problem, especially when there is only one sound mixture available. Estimating the Ideal Binary Mask (IBM) is one solution to this problem. Recent research has focused on the supervised classification approach. The c

Externí odkaz: https://doaj.org/article/e7b0847655b3445cb2c38bb3ef18361e

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Akademický článek

Deep Neural Networks for Speech Enhancement in Complex-Noisy Environments

Autor: Nasir Saleem, Muhammad Irfan Khattak

Publikováno v: International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 1, Pp 84-90 (2020)

In this paper, we considered the problem of the speech enhancement similar to the real-world environments where several complex noise sources simultaneously degrade the quality and intelligibility of a target speech. The existing literature on the sp

Externí odkaz: https://doaj.org/article/8232ad0745b94411926757a397720450

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PERFORMANCE ANALYSIS OF SPEECH SIGNAL ENHANCEMENT TECHNIQUES FOR NOISY TAMIL SPEECH RECOGNITION

Autor: VIMALA C., RADHA V.

Publikováno v: Journal of Engineering Science and Technology, Vol 12, Iss 4, Pp 972-986 (2017)

Speech signal enhancement techniques have reached a considerable research attention because of its significant need in several signal processing applications. Various techniques have been developed for improving the speech signals in adverse conditio

Externí odkaz: https://doaj.org/article/5a15eeca010e46b2a32a4ece88c3088b

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