The Application of Acoustic Analysis in the Study of Yugur Traditional Folk Songs

Lyu, Shiliang; Luxin, Zhou

doi:10.2991/snce-17.2017.13

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…In parameter extraction process, firstly the voice signal is labelled with reference to the speech signal section. The signals are divided into two main categories, one is to extract the voice parameters of the section, to make a systematic analysis of the singing voice and to compare the different singing characteristics when different singers singing the same folk song 8 . The other category is to mark the vowel part of the trailing voice, with the aim of studying the physiological characteristics of the vocalisation of the trailing part 9 .…”

Section: Data Extraction Methodsmentioning

confidence: 99%

Research on acoustic parameters of singing voice for singing speech intelligence

Lyu

Lin

Chen

2023

Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023)

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In artificial intelligence research, prosodic and pitch features are the focus of singing intelligent speech synthesis. Pitch features are usually studied by extracting fundamental frequencies. In the process of folk song singing, many special vocal skills are used, mainly related to the mode of vocal fold vibration. Using singing voice signals and parameters to study singing pitch and vocal types can better obtain the pitch and prosodic characteristics of singing. This experiment mainly takes Ewenki folk songs as the research object, analyzes singing voice signals and parameters, so as to provide reference for singing voice synthesis. The Ewenki are one of China’s ethnic groups with a small population. The Ewenki folk songs are sung in the Ewenki language, which retains many features of ancient folk songs and singing pronunciation characteristics, especially in the vocal vocalization of the singing voice. The article takes the typical traditional folk song of Ewenki, "Molie Girl", as the object of study. By collecting the singing voice and voice signals of a professional and a non-professional singer, extracted the parameters of fundamental frequency, open quotient and speed quotient. After statistical analysis of the parameters, the overall voice characteristics of the professional and non-professional singers during the singing process and the differences in the voice parameters of the trailing part of the voice were obtained. The analysis revealed both professional and non-professional singers were able to express the artistic characteristics of traditional folk songs, with different vocal styles and singing techniques. The experimental voice acoustic parameters and results can be used as a reference for the synthesis of traditional folk songs and as a method for the teaching of traditional folk songs.

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Section: Data Extraction Methodsmentioning

confidence: 99%