The Research on the Singing Voice Timbre of the Eastern Yugur Traditional Folk Songs

Lyu, Shiliang

doi:10.2991/icemc-17.2017.77

Cited by 5 publications

(2 citation statements)

References 3 publications

(3 reference statements)

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“…This experiment uses Adobe Audition CC as the recording software to collect speech and voice signals. The hardware equipment mainly consisted of lavalier microphone, EGG, the external sound card, sound console and computer 4 . The speech signal is the first channel and the voice signal collected by Electroglottography is the second channel.…”

Section: Recording Equipmentmentioning

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: Recording Equipmentmentioning

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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“…Under the impact of artificial intelligence and digital media technology, as well as the widespread dissemination of AR/VR, it undoubtedly poses greater challenges to the work of digital inheritance and protection. [3] The traditional notation for guqin consists of two forms: written notation and subtracted notation. Written notation refers to the use of language and writing to record a complete qin piece, marking the strings and emblem of each note in the piece.…”

Section: Overview Of Digital Protection Of Regional Guqin Artmentioning

confidence: 99%

Digital Protection of regional Guqin art and intelligent analysis of rhythm

Zhou

2023

Atlantis Highlights in Computer Sciences

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In the current era of rapid digital informatization of the Internet, new requirements have been put forward for the cross-border dissemination of guqin culture and art. The performance of guqin is a spatial movement, and this article will mainly introduce its specific content from multiple aspects such as notation, content retrieval, guqin string method, guqin music annotation, music style analysis, overtone and off tone, tonal algorithm synthesis, and phonemes for the digital protection of regional guqin art. After modeling based on the six commonly used tuning strings and rhythm analysis rules of the guqin, the pitch of the guqin was scientifically measured and data analysis was conducted. The problem of pitch control in digital guqin pitch was explored, and the commonly used pitch control of the guqin was used as a reference object to debug and classify the guqin pitch. Measurement using GMAS software. A rigorous and scientific quantification method was adopted, which has strong practical significance.

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Acoustic Analysis of the Singing Voice of the Ewenki Traditional Folk Song—Song of the Mother Deer

Lin

Lyu

Bai

2021

Advances in Decision Science and Management

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The Research on the Singing Voice Timbre of the Eastern Yugur Traditional Folk Songs

Cited by 5 publications

References 3 publications

Research on acoustic parameters of singing voice for singing speech intelligence

Research on acoustic parameters of singing voice for singing speech intelligence

Digital Protection of regional Guqin art and intelligent analysis of rhythm

Acoustic Analysis of the Singing Voice of the Ewenki Traditional Folk Song—Song of the Mother Deer

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