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Wyszukujesz frazę "musical training" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Enhancing Speech Recognition in Adverse Listening Environments: The Impact of Brief Musical Training on Older Adults
Autorzy:
Nandakumar, Akhila R
Somashekara, Haralakatta Shivananjappa
Kanagokar, Vibha
Pitchaimuthu, Arivudai Nambi
Powiązania:
https://bibliotekanauki.pl/articles/31339763.pdf
Data publikacji:
2024
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
musical training
carnatic music
speech recognition in noise
speech recognition in reverberation
Opis:
The present research investigated the effects of short-term musical training on speech recognition in adverse listening conditions in older adults. A total of 30 Kannada-speaking participants with no history of gross otologic, neurologic, or cognitive problems were divided equally into experimental (M = 63 years) and control groups (M = 65 years). Baseline and follow-up assessments for speech in noise (SNR50) and reverberation was carried out for both groups. The participants in the experimental group were subjected to Carnatic classical music training, which lasted for seven days. The Bayesian likelihood estimates revealed no difference in SNR50 and speech recognition scores in reverberation between baseline and followed-up assessment for the control group. Whereas, in the experimental group, the SNR50 reduced, and speech recognition scores improved following musical training, suggesting the positive impact of music training. The improved performance on speech recognition suggests that short-term musical training using Carnatic music can be used as a potential tool to improve speech recognition abilities in adverse listening conditions in older adults.
Źródło:
Archives of Acoustics; 2024, 49, 1; 3-9
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Classification of Music Genres Based on Music Separation into Harmonic and Drum Components
Autorzy:
Rosner, A.
Schuller, B.
Kostek, B.
Powiązania:
https://bibliotekanauki.pl/articles/177566.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
music information retrieval
musical sound separation
drum separation
music genre classification
support vector machine (SVM)
co-training
nonnegative matrix factorization
Opis:
This article presents a study on music genre classification based on music separation into harmonic and drum components. For this purpose, audio signal separation is executed to extend the overall vector of parameters by new descriptors extracted from harmonic and/or drum music content. The study is performed using the ISMIS database of music files represented by vectors of parameters containing music features. The Support Vector Machine (SVM) classifier and co-training method adapted for the standard SVM are involved in genre classification. Also, some additional experiments are performed using reduced feature vectors, which improved the overall result. Finally, results and conclusions drawn from the study are presented, and suggestions for further work are outlined.
Źródło:
Archives of Acoustics; 2014, 39, 4; 629-638
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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