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Wyszukujesz frazę "speech quality" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
Subjective Assessment of the Speech Signal Quality Broadcasted by Local Digital Radio in Selected Locations in Wroclaw under Studio and Home Conditions
Autorzy:
Brachmański, Stefan
Kin, Maurycy
Zemankiewicz, Patrycja
Powiązania:
https://bibliotekanauki.pl/articles/2200727.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Digital Audio Broadcasting
speech quality
quality assessment
Opis:
In October 2018, local digital radio was launched to cover the agglomeration of Wroclaw. The implementation of this undertaking required many tests, including qualitative ones, that refer to both music and speech. This paper presents the results of subjective tests based on the evaluation of speech quality of signals recorded at various points in Wroclaw. Measurements were carried out in accordance with the recommendations of the International Telecommunication Union as well as in ordinary acoustic conditions in listeners’ flats. The rating was made for male and female voices. The most important conclusion is that for speech signal assessment in meaning of the quality the test conditions do not influence the obtained results. The other fact confirmed in the experiment was that the receiving place of DAB+ signal in the Single-Frequency Network also does not affect the perceived voice quality.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 4; 687--693
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Quality Assessment of Musical and Speech Signals Broadcasted via Single Frequency Network DAB+
Autorzy:
Kin, Maurycy
Brachmański, Stefan
Powiązania:
https://bibliotekanauki.pl/articles/226936.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
quality evaluation
digital broadcasting
single frequency network
speech quality
music quality
Opis:
Paper presents the results of quality assessment of speech and music signals transmitted via DAB+ system with the use of Single Frequency Network (SFN). The musical signals were evaluated in overall quality domain. The subjective research was provided with the use of Absolute Category Rating procedure according to the ITU recommendation and the results have been presented as the MOS values for various bit rates. The speech signals were additionally examined with PESQ method. The results have shown that the assumed quality of 4 MOS, for this kind of broadcasting could be achieved at 48 kb/s for speech and 64 kb/s for music. This fact was confirmed by both: subjective and objective research. The comparison between the results obtained for SFN broadcasting with three emitters with single-emitter broadcast was presented.
Źródło:
International Journal of Electronics and Telecommunications; 2020, 66, 1; 139-144
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Deep Neural Network for Supervised Single-Channel Speech Enhancement
Autorzy:
Saleem, Nasir
Irfan Khattak, Muhammad
Ali, Muhammad Yousaf
Shafi, Muhammad
Powiązania:
https://bibliotekanauki.pl/articles/177497.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
deep neural network
intelligibility
speech enhancement
speech quality
supervised learning
Wiener filtering
Opis:
Speech enhancement is fundamental for various real time speech applications and it is a challenging task in the case of a single channel because practically only one data channel is available. We have proposed a supervised single channel speech enhancement algorithm in this paper based on a deep neural network (DNN) and less aggressive Wiener filtering as additional DNN layer. During the training stage the network learns and predicts the magnitude spectrums of the clean and noise signals from input noisy speech acoustic features. Relative spectral transform-perceptual linear prediction (RASTA-PLP) is used in the proposed method to extract the acoustic features at the frame level. Autoregressive moving average (ARMA) filter is applied to smooth the temporal curves of extracted features. The trained network predicts the coefficients to construct a ratio mask based on mean square error (MSE) objective cost function. The less aggressive Wiener filter is placed as an additional layer on the top of a DNN to produce an enhanced magnitude spectrum. Finally, the noisy speech phase is used to reconstruct the enhanced speech. The experimental results demonstrate that the proposed DNN framework with less aggressive Wiener filtering outperforms the competing speech enhancement methods in terms of the speech quality and intelligibility.
Źródło:
Archives of Acoustics; 2019, 44, 1; 3-12
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Impact of the level of noise and echo on the reaction time of listeners in the perception of logatoms
Autorzy:
Brachmański, Stefan
Dobrucki, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/2146651.pdf
Data publikacji:
2021
Wydawca:
Politechnika Poznańska. Instytut Mechaniki Stosowanej
Tematy:
perception
listener’s time reaction
speech quality
percepcja
czas reakcji słuchacza
jakość mowy
Opis:
The article presents the results of research regarding the impact of the degree of distortion and noise of the logatom (nonsense word) on the listener's reaction time. The study aimed to determine the maximum reaction time of listeners, which will allow determining the time after which the logatom will be exposed in the speech quality assessment method with an alternative choice. The research was carried out with the participation of a group of ten students. A strong relationship between the results obtained and the concentration of the listeners was found, as well as the effect of fatigue, training, and the gender of the listener. The obtained results indicate that in the method with an alternative choice before the logatom emission should appear 1.1 s initial sequence, which will eliminate the situation when the listeners did not recognize the initial phoneme transmitted from the logatom.
Źródło:
Vibrations in Physical Systems; 2021, 32, 2; art. no. 2021215
0860-6897
Pojawia się w:
Vibrations in Physical Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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