首页|Findings from Universitas Pendidikan Indonesia Advance Knowledge in Machine Lear ning (Digital audio preservation for Indonesian traditional vocal recognition ba sed on machine learning: A literature review and bibliometric analysis)

Findings from Universitas Pendidikan Indonesia Advance Knowledge in Machine Lear ning (Digital audio preservation for Indonesian traditional vocal recognition ba sed on machine learning: A literature review and bibliometric analysis)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from the Univer sitas Pendidikan Indonesia by NewsRx correspondents, research stated, “The study aims to save Indonesia’s extensive voice history by comprehensively examining e xisting literature and doing a bibliometric analysis.” The news journalists obtained a quote from the research from Universitas Pendidi kan Indonesia: “This approach provides a comprehensive understanding of this fie ld’s development, methodology, obstacles, and potential future paths. The key fo cus is machine learning approaches to identify and safeguard Indonesian traditio nal vocals using several methods, like spectrogram-based techniques, convolution al and recurrent neural networks, transfer learning, attention mechanisms, and h ybrid learning. Examining these technologies considers Indonesia’s voice variety , providing insights into their adaptability to handling distinct scales, tuning s, and stylistic variances. The study incorporates a bibliometric analysis to me asure the expansion of literature and ascertain the prominent authors, journals, and keywords in this developing topic. This study improves our comprehension of the research terrain and the conceptual paths that drive the progress of the fi eld. Indonesia’s traditional vocal music faces the imminent challenges of indust rialization and globalization.”

Universitas Pendidikan IndonesiaAsiaCyborgsEmerging TechnologiesIndonesiaMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.16)