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EN
Aim: The aim of the study was to assess the acoustic and capacity analysis of singing voice using DiagnoScope Specialist software. Material and methods: The study was conducted in 131 adult subjects, including 74 women and 46 men aged 21–51, divided into 3 groups: I – 40 subjects (treatment group) – professional vocalists, II – 40 subjects (treatment group) – semiprofessional vocalists, III – 40 subjects (control group) – students of The Military Medical Faculty at the Medical University of Lodz – nonsingers. The research methodology included: primary medical history, physical examination (otolaryngological), videolaryngoscopic examination, the GRBAS scale for subjective voice evaluation, diagnostic voice acoustic and capacity analysis using DiagnoScope Specialist software, survey on lifestyle patterns which may affect voice quality. R esults: Average value of the fundamental frequency F0 was the highest in professional vocalists group; it was 316.46 Hz in women and 165.09 Hz in men. In semiprofessional vocalists group it was accordingly 260.50 Hz and 149.26 Hz, in nonsingers group it was accordingly 261.23 Hz and 159.27 Hz. The mean value of Jitter parameter in professional vocalists group was 0.30% in women and 0.54% in men, in semiprofessional vocalists group it was accordingly 0.31% and 0.57%, in nonsingers group it was 0.31% and 0.56%. The mean value of Shimmer parameter in professional vocalists group was 3.27% in women and 3.75% in men, in semiprofessional vocalists group it was accordingly 3.46% and 3.77%, in nonsingers group it was 4.33% and 4.39%. The mean value of the NHR index in professional vocalists group was 3.28% in women and 6.00% in men, in semiprofessional vocalists group it was accordingly 3.23% and 6.72%, in nonsingers group it was 3.89% and 6.13%. Conclusions: Values of the parameters which measure the character of the voice, relative period-to-period fundamental frequency perturbations, relative period-to-period amplitude perturbation and level of buzzing together with other methods have diagnostic and predictive value in early detection of voice disorders. Capacity analysis in singing voice showed very low values of the following parameters: phonation time, true phonation time, no phonation coefficient, voice efficiency coefficient and voice capacity.
EN
Aim: The aim of the study was to assess the acoustic and capacity analysis of singing voice using DiagnoScope Specialist software. Material and methods: The study was conducted in 131 adult subjects, including 74 women and 46 men aged 21–51, divided into 3 groups: I – 40 subjects (treatment group) – professional vocalists, II – 40 subjects (treatment group) – semiprofessional vocalists, III – 40 subjects (control group) – students of The Military Medical Faculty at the Medical University of Lodz – nonsingers. The research methodology included: primary medical history, physical examination (otolaryngological), videolaryngoscopic examination, the GRBAS scale for subjective voice evaluation, diagnostic voice acoustic and capacity analysis using DiagnoScope Specialist software, survey on lifestyle patterns which may affect voice quality. R esults: Average value of the fundamental frequency F0 was the highest in professional vocalists group; it was 316.46 Hz in women and 165.09 Hz in men. In semiprofessional vocalists group it was accordingly 260.50 Hz and 149.26 Hz, in nonsingers group it was accordingly 261.23 Hz and 159.27 Hz. The mean value of Jitter parameter in professional vocalists group was 0.30% in women and 0.54% in men, in semiprofessional vocalists group it was accordingly 0.31% and 0.57%, in nonsingers group it was 0.31% and 0.56%. The mean value of Shimmer parameter in professional vocalists group was 3.27% in women and 3.75% in men, in semiprofessional vocalists group it was accordingly 3.46% and 3.77%, in nonsingers group it was 4.33% and 4.39%. The mean value of the NHR index in professional vocalists group was 3.28% in women and 6.00% in men, in semiprofessional vocalists group it was accordingly 3.23% and 6.72%, in nonsingers group it was 3.89% and 6.13%. Conclusions: Values of the parameters which measure the character of the voice, relative period-to-period fundamental frequency perturbations, relative period-to-period amplitude perturbation and level of buzzing together with other methods have diagnostic and predictive value in early detection of voice disorders. Capacity analysis in singing voice showed very low values of the following parameters: phonation time, true phonation time, no phonation coefficient, voice efficiency coefficient and voice capacity.
EN
Abstract Introduction: The aim of the study was to assess the acoustic and capacity analysis of singing voice using DiagnoScope Specialist software. Material and methods: The study was conducted in 120 adults subjects, including 74 women and 46 men aged 21-5, were divided into 3 groups: I -40 subjects (treatment group) – professional vocalists, II- 40 subjects (treatment group) – semiprofessional vocalists, III- 40 subjects (control group) – students of The Military Medical Faculty at Medical University of Lodz – nonsingers. The research methodology included: primary medical history, physical examination (otolaryngological), vdeolaryngoscopic examination, the GRBAS scale for subjective voice evaluation, diagnostic voice acoustic and capacity analysis using DiagnoScope Specialist software, survey on lifestyle patterns which may affect voice quality. Results: Average value of the fundamental frequency F0 was the highest in professional vocalists’ group was 316,46 Hz in women and 165,09 Hz in men, in semiprofessional vocalists’ group was accordingly 260,50 Hz and 149,26 Hz, in nonsingers’ group was accordingly 261,23 Hz and 159, 27 Hz. Average value of Jitter parameter in professional vocalists’ group was 0,30% in women and 0,54% in men, in semiprofessional vocalists’ group was accordingly 0,31% and 0,57%, in nonsingers’ group was 0,31% and 0,56%. Average value of Shimmer parameter in professional vocalists’ group was 3,27% in women and 3,75% in men, in semiprofessional vocalists’ group was accordingly 3,46% and 3,77%, in nonsingers’ group was 4,33% and 4,39%. Average value of NHR index in professional vocalists’ group was 3,28% in women and 6,00% in men, in semiprofessional vocalists’ group was accordingly 3,23% and 6,72%, in nonsingers’ group was 3,89% and 6,13%. Conclusions: Values of the parameters which are measuring the character of the voice, relative period-to-period fundamental frequency perturbations, relative period-to-period amplitude perturbation and level of buzzing together with other methods have diagnostic and predictive value in early detection of voice disorders. Capacity analysis in singing voice showed very low values of the following parameters: phonation time, true phonation time, no phonation coefficient, voice efficiency coefficient and voice capacity. Key words: The acoustic and capacity analysis, singing voice
EN
Abstract Introduction: The aim of the study was to assess the acoustic and capacity analysis of singing voice using DiagnoScope Specialist software. Material and methods: The study was conducted in 120 adults subjects, including 74 women and 46 men aged 21-5, were divided into 3 groups: I -40 subjects (treatment group) – professional vocalists, II- 40 subjects (treatment group) – semiprofessional vocalists, III- 40 subjects (control group) – students of The Military Medical Faculty at Medical University of Lodz – nonsingers. The research methodology included: primary medical history, physical examination (otolaryngological), vdeolaryngoscopic examination, the GRBAS scale for subjective voice evaluation, diagnostic voice acoustic and capacity analysis using DiagnoScope Specialist software, survey on lifestyle patterns which may affect voice quality. Results: Average value of the fundamental frequency F0 was the highest in professional vocalists’ group was 316,46 Hz in women and 165,09 Hz in men, in semiprofessional vocalists’ group was accordingly 260,50 Hz and 149,26 Hz, in nonsingers’ group was accordingly 261,23 Hz and 159, 27 Hz. Average value of Jitter parameter in professional vocalists’ group was 0,30% in women and 0,54% in men, in semiprofessional vocalists’ group was accordingly 0,31% and 0,57%, in nonsingers’ group was 0,31% and 0,56%. Average value of Shimmer parameter in professional vocalists’ group was 3,27% in women and 3,75% in men, in semiprofessional vocalists’ group was accordingly 3,46% and 3,77%, in nonsingers’ group was 4,33% and 4,39%. Average value of NHR index in professional vocalists’ group was 3,28% in women and 6,00% in men, in semiprofessional vocalists’ group was accordingly 3,23% and 6,72%, in nonsingers’ group was 3,89% and 6,13%. Conclusions: Values of the parameters which are measuring the character of the voice, relative period-to-period fundamental frequency perturbations, relative period-to-period amplitude perturbation and level of buzzing together with other methods have diagnostic and predictive value in early detection of voice disorders. Capacity analysis in singing voice showed very low values of the following parameters: phonation time, true phonation time, no phonation coefficient, voice efficiency coefficient and voice capacity. Key words: The acoustic and capacity analysis, singing voice
5
Content available remote Automatic singing quality recognition employing artificial neural networks
80%
EN
The aim of the paper is to determine how quality of a singing voice can be recognized automatically. For this purpose, a database of singing voice sounds with samples of voices of trained and untrained singers was created and is presented. The methods of a singing voice parameterization are shortly reviewed and a set of descriptors is outlined. Each of the presented samples is parameterized and judged by experts, and the resulting feature vectors and quality scores are then used to train an artificial neural network. A comparison between experts' judgments and automatic recognition results is performed. Finally, statistical methods are applied to prove that an artificial neural network is able to automatically determine the quality of a singing voice with the accuracy very similar to expert assessments. The paper includes the discussion of results and presents derived conclusions.
EN
In this article the authors present the idea of automatic processing of singing recordings to create a database and for later analysis. The recordings contain sequences of sounds of the piano and singing separated by short segments of silence. The aim of the presented approach is the precise segmentation of the recordings and standardization of the resulting segments (termed further as samples) for later assessment of vocal quality. The taken approach can reduce the amount of time required for preparation of a database with sequences of singing for the analysis of singing voice quality. The samples obtained in the process must meet the prescribed requirements to enable carrying out the planned analyzes such as estimation of the fundamental frequency, vibrato estimation, Singing Power Ratio and formants estimation.
7
Content available remote The KTH synthesis of singing
70%
EN
This is an overview of the work with synthesizing singing that has been carried out at the Speech Music Hearing Department, KTH since 1977. The origin of the work, a hardware synthesis machine, is described and some aspects of the control program, a modified version of a text-to-speech conversion system are reviewed. Three applications are described in which the synthesis system has paved the way for investigations of specific aspects of the singing voice. One concerns the perceptual relevance of the center frequency of the singer's formant, one deals with characteristics of an ugly voice, and one regards intonation. The article is accompanied by 18 sound examples, several of which were not published before. Finally, limitations and advantages of singing synthesis are discussed.
EN
The herewith article presents design aspects of audio database of choir signing voices. The aim of such a database as being designed is are sented, with its main assumptions and the method of its construction, ths process of creating the recordings and their preliminary processing included. Following this, the method of segmentation and storage of the source material is described with the inclusion of naming convention and data structure. Quantitative and qualitative characteristic of the sound data as obtained and the possibility of performing further studies are also an important part of the article.
PL
W artykule zaprezentowano aspekty projektowe dźwiękowej bazy danych głosów chóralnych. Przedstawiono cel, któremu projektowana baza ma służyć, główne założenia oraz sposób realizacji z uwzględnieniem procesu realizacji nagrań oraz ich obróbki wstępnej. Następnie opisano sposób segmentacji i przechowywania materiału źródłowego z uwzględnieniem konwencji nazewniczej i struktury danych. Istotnym elementem artykułu jest charakterystyka ilościowa i jakościowa pozyskanych danych dźwiękowych wraz ze wskazaniem możliwości realizacji dalszych badań.
EN
The article focuses on the analysis of a noise in singing voices using samples obtained from choral singers. Analysis of the singing voice quality is a complex task. There are various points of view and methods of analysis used to solve that problem. Musicians consider the voice of singers from the point of view of voice emission. Doctors analyzing the voice of a singer trying to determine his medical parameters. To analyze the quality of singing voice the equipment and tools characteristic for clinical practice can be used. In the analysis of the signals mentioned in the article some methods for the voice analysis have been adopted. The quality parameters of the singing voice were calculated on the basis of recorded samples. This article presents the results of research at the frontier of computer signal analysis and medicine. To achieve the goal in the study a method for the analysis of noise Noise Parameter based on GNE (Glottal-to-Noise Excitation Ratio) was used.
PL
Niniejszy artykuł skupia się na analizie szumu w głosie śpiewaczym. Analiza jakości głosu śpiewaczego jest złożonym zadaniem. W praktyce istnieją różne podejścia do analizy zagadnienia szumu w głosie. Muzycy patrzą na głos śpiewaczy z perspektywy emisji głosu. Lekarze analizując głos śpiewaka próbują ustalić jego parametry medyczne. Stosowane są przy tym narzędzia wykorzystywane do analiz medycznych. W przedstawionej w tym artykule analizie parametry jakościowe głosu śpiewaczego obliczono dla próbek dźwiękowych pozyskanych od śpiewaków chóralnych. Przedstawiono tutaj wyniki badań z pogranicza komputerowej analizy sygnału i medycyny. Aby osiągnąć założony cel wykorzystano metody analizy parametrów szumu na podstawie współczynnika GNE (Glottal-to-Noise Excitation Ratio).
EN
The article touches upon the interdisciplinary subject of computer analysis of sonority feature in singing. The aim is to find the parameters that reflect the impression of sonority in timbre. The article attempts to define more precisely what is sonority in singing and what is sonorous voice. For the evaluation of the sonority of singing voice ten signal parameters were selected, calculated and compared with opinions of 5 experts assessing sonority feature in the recorded singing. Due to the differences in the vocal scales of women and men, singers were analysed in separated groups.
PL
Niniejszy artykuł dotyka interdyscyplinarnego zagadnienia jakim jest analiza cechy dźwięczności w śpiewie. Celem opracowania jest znalezienie parametrów, które odzwierciedlają wrażenie dźwięczności w barwie głosu. W artykule podjęto próbę dokładniejszego zdefiniowania co to jest dźwięczność w śpiewie i dźwięczny głos. Do oceny dźwięczności głosu śpiewaczego zostało wytypowanych dziesięć parametrów, obliczonych i porównanych z opiniami ekspertów oceniających dźwięczność w nagraniach śpiewu. Z uwagi na różnice w charakterystyce głosów męskich i żeńskich śpiewacy byli analizowani w osobnych grupach.
EN
The paper presents an approach of assessment of singing quality based on properties of fundamental frequency (FO) trajectories. An analysis of singing has been performed using exercise with dedicated phrase containing consecutive vowels at the same pitch. The frequency deviations between voice's pitch and target tonality along with intonation trends have been considered at evaluation stage. Performed experiments show that in case of short duration of singing sounds, the vowel type is independent of whole phrase. The special case was/o/vowel which had decreasing trend in terms of intonation. Proposed technique of singing voice assessment is characterized by simplicity and low computational complexity, thus can be used in real-time applications.
PL
W pracy przedstawiono technikę oceny jakości głosu śpiewanego z wykorzystaniem własności trajektorii częstotliwości tonu krtaniowego (FO). Przeprowadzono analizę śpiewu z użyciem ćwiczenia, na które składala się fraza zawierająca samogłoski śpiewane kolejno na tej samej wysokości dźwięku. Wykorzystano pomiar odchylenia częstotliwości pomiędzy śpiewanymi i zadanymi dźwiękami. Przeprowadzone eksperymenty pokazują, że w sytuacji, gdy czas trwania śpiewanej głoski jest krótki to ich rodzaj nie miał znaczącego wpływu na całość frazy. Wyjątkiem była tu głoska /o/, która we wszystkich przypadkach wykazywała trend zniżkowy, jeśli chodzi o intonację. Proponowane podejście oceny głosu śpiewanego charakteryzuje się prostotą i niską złożoności obliczeniową, co stwarza możliwości jego wykorzystania w zastosowaniach czasu rzeczywistego.
EN
The ability to correctly reproduce notes by the voice is one of the essential features of the singing task and called intonation. In combination with other parameters like timbre, formants, and sound attack, it affects the reception of listening impressions. In this paper, we present results of the examination concerning the automatic evaluation of intonation among the nonsingers, untrained and trained choral singers. We performed both pitch error during vocalization and pitch stability in crescendo task analysis among studied groups. We used Zero Band Filtering method to determine fundamental frequency from the singing signal. We noticed significant differences between singers with different skills and experience, and the possibility to classify the level of advancement of the singer by using intonation characteristic.
EN
In this paper a part of quality assessment process of the intonation of singing voice is described. Intonation is understood here as the ability to precisely reproduce a given pitch. Such evaluation is typically performed by voice production experts (voice trainers) or other persons associated with singing. For the purpose of determining the quality of intonation an exercise performed by singers on subsequent pitches was proposed in the article. One of pitch extraction methods is used to determine the fundamental frequency and estimate the F0 trajectory. Based on the obtained trajectory, an attempt is made to determine a general trend among tested singers. It is also indicated, that it is possible to point out problems in singing for tested persons, which can be useful in further stages of voice training.
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