Possibility of distinction of violin timbre by spectral envelope

Yokoyama, M.

doi:10.1016/j.apacoust.2019.107006

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…The studies of Refs. [29,30] are most related to our approach, investigating harmonic overtones of violins and extracting the tendencies of instruments from the spectral envelope. It was shown [30] that listeners could detect the difference in harmonic timbre when there were differences in the tendencies of the spectral envelopes.…”

Section: Introductionmentioning

confidence: 99%

“…[29,30] are most related to our approach, investigating harmonic overtones of violins and extracting the tendencies of instruments from the spectral envelope. It was shown [30] that listeners could detect the difference in harmonic timbre when there were differences in the tendencies of the spectral envelopes. This speaks to the use of our approach, which also quantifies the harmonic content, but with the important difference in the recording of the instrument and also the analysis part.…”

Section: Introductionmentioning

confidence: 99%

“…In Ref. [30], the recordings were made with a single microphone about 10 cm above the bridge of the violin. While this results in a reproducible recording of the instrument, it does not represent a musically relevant listening position and is biased toward specific details of the acoustic nearfield that would change significantly with a slight change in the recording point.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantifying sound colour of musical instruments – precise harmonic timbre coordinates of like instruments

Prislan,

Kržič,

Svenšek

2024

Acta Acust.

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Timbre – sound “colour” – is an abstract, delicate property of sound, especially in a high-value context such as musical instruments. It is a perceptual construct so intangible that it cannot be considered a quantity. Since sound nevertheless reaches our ears as a complete physical reality, we hypothesize that this inherent abstraction of its timbre is primarily due to the lack of a meaningful, musically relevant, and robust quantification that would do justice to the subtlety of human auditory perception. It is therefore not surprising that not a single aspect of timbre is to be found in the specifications of musical instruments. We introduce harmonic timbre coordinates, concrete and robust numbers that quantify a partial aspect of timbre of an instrument’s sound – its harmonic structure – with a precision that allows relevance in the musical context. These numbers could, for example, help a buyer find an instrument whose sound is closer to his or her preferences. Or they could enable precise tracking of harmonic changes in sound, and more.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantifying sound colour of musical instruments – precise harmonic timbre coordinates of like instruments

Prislan,

Kržič,

Svenšek

2024

Acta Acust.

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“…Therefore, human vocal timbre features are classified by the feature selection module combining principal component analysis (PCA), and three feature categories are obtained including source parameters, vocal tract parameters, and human hearing parameters. To remove the correlations between features, PCA is exploited to reduce the dimension of the above three feature categories, and finally, 74-dimensional timbre feature parameters are obtained [14,15] (3) Timbre grading by the objective evaluation method: HMM [16], GMM-UBM, LSTM, and other models are used to compare different objective evaluation methods [17][18][19][20] The main contributions of this paper are three parts. (1) Based on the broadcasting knowledge and Chinese phonetic characteristics, a database of broadcasting vocal timbre was constructed and annotated.…”

Section: Introductionmentioning

confidence: 99%

Objective Evaluation Method of Broadcasting Vocal Timbre Based on Feature Selection

Lan

et al. 2022

Wireless Communications and Mobile Computing

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Broadcasting voice is used to convey ideas and emotions. In the selection process of broadcasting and hosting professionals, the vocal timbre is an important index. The subjective evaluation method is widely used, but the selection results have certain subjectivity and uncertainty. In this paper, an objective evaluation method of broadcasting vocal timbre is proposed. Firstly, the broadcasting vocal timbre database is constructed on Chinese phonetic characteristics. Then, the timbre feature selection strategy is presented based on human vocal mechanism, and the broadcast timbre characteristics are divided into three categories, which include source parameters, vocal tract parameters, and human hearing parameters. Finally, the three models of hidden Markov model (HMM), Gaussian Mixture Model-General Background Model (GMM-UBM), and long short-term memory (LSTM) are exploited to evaluate the timbre of the broadcast by extracting timbre features and four timbre feature combinations. The experiments show that the selection of timbre features is scientific and effective. Moreover, the accuracy of the LSTM network using the deep learning algorithm in the objective evaluation of the broadcast timbre is better than the traditional HMM and GMM-UBM, and the proposed method can achieve about 95% accuracy rate in our database.

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Tone colour in music and bifurcation control

Gazor

Shoghi

2022

Journal of Differential Equations

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Possibility of distinction of violin timbre by spectral envelope

Cited by 5 publications

References 11 publications

Quantifying sound colour of musical instruments – precise harmonic timbre coordinates of like instruments

Quantifying sound colour of musical instruments – precise harmonic timbre coordinates of like instruments

Objective Evaluation Method of Broadcasting Vocal Timbre Based on Feature Selection

Tone colour in music and bifurcation control

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