Biometrik Pola Suara Dengan Jaringan Saraf Tiruan

Agustina, Ina Helena; Fauziah, Fauziah; Gunaryati, Aris

doi:10.15408/jti.v9i2.5605

Cited by 4 publications

(4 citation statements)

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“…Metode mengetahui identitas seseorang bermacammacam diantaranya berdasarkan karakter fisik adalah wajah (face recognition), sidik jari (fingerprint), struktur telapak tangan, retina mata (iris), suara (voice recognition) [1]. Tantangan besar yang dihadapi dalam sistem komunikasi antara mesin dan manusia adalah kemampuan komputer untuk memahami suatu karakter suara dari pembicara dengan berbagai latar belakang budaya, bahasa ibu ataupun jenis kelamin pembicara [2].…”

Section: Pendahuluanunclassified

Identifikasi Pola Suara Pada Bahasa Jawa Meggunakan Mel Frequency Cepstral Coefficients (MFCC)

Almanfaluti

Sugiono

2020

mib

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Voice Recognition is a process of developing systems used between computer and human. The purpose of this study is to find out the sound pattern of a person based on the spoken Javanese language. This study used the Mel Frequency Cepstral Coefficients (MFCC) method to solve the problem of feature extraction from human voices. Tests were carried out on 4 users consisting of 2 women and 2 men, each saying 1 word "KUTHO", the word pronounced 5 times. The results of the testing are to get a sound pattern from the characteristics of 1 person with another person so that research using the MFCC method can produce different sound patterns

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Section: Pendahuluanunclassified

Identifikasi Pola Suara Pada Bahasa Jawa Meggunakan Mel Frequency Cepstral Coefficients (MFCC)

Almanfaluti

Sugiono

2020

mib

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“…Istilah Artificial Intelligence pertama kali dikemukakan pada tahun 1956 di konferensi Darthmouth [1]. Sejak saat itu penelitian, teori serta prinsip terkait Artificial Intelligence terus berkembang.…”

Section: Pendahuluanunclassified

KLASTERING SUARA BERDASARKAN GENDER MENGGUNAKAN ALGORITMA K-MEANS DARI HASIL EKSTRAKSI FFT (Fast Fourier Transform)

Izzah¹

2018

j.ilm.soulmath

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Speech recognition process is kind of applied Technique of digital sign process that is widely used for many applications, for example technology in the field of telecommunications which isn't only able to provide for serving for sending text data but also it can serve for sending data using sound. From technology development of signal process emerges new idea to make application program by creating new sofware to display sound signal characteristic based on frequency and highest magnitude. Clustering is part of pattern recognition science which is made for system that can perform into a groups. In this research, the researcher will distinguish between male voice or female voice. Mechanism process uses Collecting voice samples, then the feature extraction using FFT that produce two main features that is maximum value of frequency and maximun value of magnitude. After that, k-means alogarithm process is used for grouping voice of male clusteror female cluster. The result of this research uses 20 training data and 20 testing data that will produce 75% level of accuracy for training data and 100% for testing data.

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“…Understanding their morphological traits, including the morphometric, is one method for identifying aquatic animals, such as Horseshoe crabs (Jawahir et al, 2017). Morphometric characteristics are an essential tool for studying changes and variations in the body form of organisms, particularly their size (Agustina et al, 2016). Changes and comparisons of quantitative data, primarily from body parts of organisms, are explained by morphometric research (Zheng et al, 2019).…”

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confidence: 99%

Morphometry of Limulidae (Oscar E. Brown) in Leidong, Sei Berombang, and Tanjung Tiram, North Sumatera

et al. 2023

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Limulidae (Horseshoe crab), or Mimi in the local name, are known; there are four species, namely Limulus polyphemus in North America and Asia, namely Tachypleus tridentatus, T. gigas, and Carcinoscorpius rotundicauda. In Indonesia, these species are protected by the Decree of the Minister of Forestry Number 12/KPTS-II/1987; meanwhile, illegal fishing still occurs. This study aims to identify Limulidae species and analyze Mimi's morphometric characteristics and distribution in North Sumatra to conserve the species. This research was conducted using a quantitative descriptive method in Leidong, Sei Berombang, Tanjung Tiram - North Sumatera, from September to December 2021. Biometric measurements were performed on 98 Mimi, and the data were statistically analyzed using the Kruskal Wallis test, Mann-Whitney test, and Multinomial logistics. The results showed that Mimi in the study area was identified as Tachypleus tridentatus, T. gigas, and Carcinoscorpius rotundicauda. The most commonly caught was T. tridentatus at the Tanjung Tiram. Based on the maximum width of the prosoma and body length, the largest to most petite sizes are T. tridentatus at Leidong (10.31 cm), T. gigas at Leidong, and Sei Berombang (10 cm) and C. rotundicauda at Sei Berombang (7.56 cm) respectively. The cluster analysis based on 27 morphometric characters showed that T. tridentatus had almost the same characteristics as T. gigas, while C. rotundicauda had its features. It can be concluded that the largest to most petite sizes of Mimi in the study area were T. tridentatus, T. gigas, and C. rotundicauda, respectively.

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Biometrik Pola Suara Dengan Jaringan Saraf Tiruan

Cited by 4 publications

References 0 publications

Identifikasi Pola Suara Pada Bahasa Jawa Meggunakan Mel Frequency Cepstral Coefficients (MFCC)

Identifikasi Pola Suara Pada Bahasa Jawa Meggunakan Mel Frequency Cepstral Coefficients (MFCC)

KLASTERING SUARA BERDASARKAN GENDER MENGGUNAKAN ALGORITMA K-MEANS DARI HASIL EKSTRAKSI FFT (Fast Fourier Transform)

Morphometry of Limulidae (Oscar E. Brown) in Leidong, Sei Berombang, and Tanjung Tiram, North Sumatera

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