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Shih-An Li, Yu-Ying Liu, Yun-Chien Chen, Hsuan-Ming Feng, Pi-Kang Shen and Yu-Che Wu
This paper designed a voice interactive robot system that can conveniently execute assigned service tasks in real-life scenarios. It is equipped without a microphone where users can control the robot with spoken commands; the voice commands are then reco...
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Musab T. S. Al-Kaltakchi, Ahmad Saeed Mohammad and Wai Lok Woo
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 chall...
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Zuhragvl Aysa, Mijit Ablimit, Hankiz Yilahun and Askar Hamdulla
In multi-lingual, multi-speaker environments (e.g., international conference scenarios), speech, language, and background sounds can overlap. In real-world scenarios, source separation techniques are needed to separate target sounds. Downstream tasks, su...
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Hai Huyen Dam and Sven Nordholm
This paper proposes a new adaptive algorithm for the second-order blind signal separation (BSS) problem with convolutive mixtures by utilising a combination of an accelerated gradient and a conjugate gradient method. For each iteration of the adaptive al...
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Shiyu Guo, Mengna Shi, Yanqi Zhou, Jiayin Yu and Erfu Wang
As the main method of information transmission, it is particularly important to ensure the security of speech communication. Considering the more complex multipath channel transmission situation in the wireless communication of speech signals and separat...
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Bulat Nutfullin,Eugene Ilyushin
Pág. 14 - 20
Speech is a specific feature of human and his advantage over other species within evolution. Sound diarization is a process of sound separation, taking into account belonging to the speaker. Before the advent of deep learning and the ...
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Ke Zhang, Yangjie Wei, Dan Wu and Yi Wang
Voice signals acquired by a microphone array often include considerable noise and mutual interference, seriously degrading the accuracy and speed of speech separation. Traditional beamforming is simple to implement, but its source interference suppressio...
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Waqas Rafique, Jonathon Chambers and Ali Imam Sunny
The performance of the independent vector analysis (IVA) algorithm depends on the choice of the source prior to better model the speech signals as it employs a multivariate source prior to retain the dependency between frequency bins of each source. Iden...
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Maoshen Jia, Jundai Sun and Xiguang Zheng
In this work, a multiple speech source separation method using inter-channel correlation and relaxed sparsity is proposed. A B-format microphone with four spatially located channels is adopted due to the size of the microphone array to preserve the spati...
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Gustavo Fernandes Rodrigues,Thiago de Souza Siqueira,Ana Cláudia Silva de Souza,Hani Camille Yehia
Pág. 80 - 85
In this paper we present an insight into the use of spectral masking techniques in time-frequency domain, as a preprocessing step for the speech signal recognition. Speech recognition systems have their performance negatively affected in noisy environmen...
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