Using Dual-Element Microphone Arrays for Automatic Keyword Recognition

Stolbov, Mikhail; Tatarnikova, Marina

doi:10.1007/978-3-319-99579-3_68

Cited by 3 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From these figures, as we can see that, the remaining of speech component of the second talker is removed to 5(dB) in comparison with (Stolbov et al, 2018). The effectiveness of the proposed technique was confirmed in suppressing the remaining speech component of second talker while ensuring keep the first second's speech.…”

Section: Experiments and Discussionmentioning

confidence: 66%

“…The effectiveness of the proposed technique was confirmed in suppressing the remaining speech component of second talker while ensuring keep the first second's speech. This is the major advantage in comparison with the previous work (Stolbov et al, 2018).…”

Section: Experiments and Discussionmentioning

confidence: 85%

“…In figure 8, the obtained processed signal by the previous author's work (Stolbov et al, 2018) and the proposed method are illustrated in figure 9.…”

Section: Experiments and Discussionmentioning

confidence: 99%

“…Stolbov et al (Stolbov et al, 2018) proposed utilizing an equalizer for preserving the useful signal at the low-frequency band. The equalizer can be expressed as the following equation:…”

Section: Differential Microphone Arraymentioning

confidence: 99%

“…In the next section, the author illustrated and experiment to very the useful of the proposed postfiltering in compared with the previous author's work (Stolbov et al, 2018) by using a DMA2 to extract the desired target talker while suppressing the interference.…”

Section: The Post-filteringmentioning

confidence: 99%

See 4 more Smart Citations

Proceedings of the 5th Workshop for Young Scientists in Computer Science and Software Engineering

2022

View full text Add to dashboard Cite

Based on the application of the classification control approach, a generalized algorithm for optimization of beneficiation processes is proposed. The results of computer modelling of the classification optimization process on the example of real indicators of magnetite quartzite beneficiation are presented. The results of classification and evolutionary optimization procedures are compared. It was concluded that the proposed intelligent classification method is able to determine the vector of settings and predict the TP beneficiation with satisfactory accuracy. It is confirmed that the developed algorithms and control principles can be applied to determine the required parameter values in modern ICS.

show abstract

Section: Experiments and Discussionmentioning

confidence: 66%

Section: Experiments and Discussionmentioning

confidence: 85%

“…In figure 8, the obtained processed signal by the previous author's work (Stolbov et al, 2018) and the proposed method are illustrated in figure 9.…”

Section: Experiments and Discussionmentioning

confidence: 99%

“…Stolbov et al (Stolbov et al, 2018) proposed utilizing an equalizer for preserving the useful signal at the low-frequency band. The equalizer can be expressed as the following equation:…”

Section: Differential Microphone Arraymentioning

confidence: 99%

Section: The Post-filteringmentioning

confidence: 99%

See 3 more Smart Citations