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International Journal of Forensic Linguistic
Published by Universitas Warmadewa
ISSN : 27231542     EISSN : 27235254     DOI : https://doi.org/10.22225/ijfl.2.1
Core Subject : Education,
Languange, Linguistic, Communication & Media
The scope of this journal is dealing with forensic psychology, forensic analysis of the court and legal system, Analysis of guilty plea and lie detection and Criminal investigation techniques.
Arjuna Subject : Seni dan Humaniora - Bahasa dan Linguistik
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2021)" : 5 Documents clear
Audio Forensic Method: Analyze Voice Resemblance Towards Mobile Phone’s Voice Recorder Dayu Inten Lestari
IJFL (International Journal of Forensic Linguistic) Vol. 2 No. 1 (2021)
Publisher : Universitas Warmadewa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/ijfl.3.1.4993.52-58

Abstract

Audio forensics is one of the sciences that juxtaposes between science and scientific methods in the process of sound recording Audio Forensic Method: Analyze Voice Resemblance Towards Mobile Phone’s Voice Recorder, by using Forensic audio method In Audio forensics: Theory and Analysis, are Pitch Statistical Analysis, Formant and Bandwidth Statistical Analysis, Graphical Distribution Analysis and Spectogram Analysis. However, in this study, researchers only focus on identifying pitch and formants in the data to be analyzed. So it is hoped that the output of this research can become a reference or enrichment material for law enforcement agencies law and academics who wish to continue their research related to digital forensics. In doing on In this study, a Praat application was used to help with the audio comparison process from Known Samples and Unknown Sample. the results showed that Very clear results can be seen in words spoken with high intonation, while in words with low and medium intonation, the results of pitch analysis do not show significant differences. The words are pronounced with high intonation, while the original voice tends to be low, indicating the results of different formant values. So that it can be easily distinguished from the comparison voice which is on average high, very high, low or very low intonation. So it can be concluded that Digital voice forensic techniques can not do validation of evidence because there is no standard validation which is determined. Digital forensic techniques can only provide results from the sound similarity analysis of good evidence by the voice of the suspect
AN ANALYSIS OF SMARTPHONE’S VOICE RECORDING USING PRAAT (CASE STUDY: FORENSIC AUDIO) I Putu Kelvin Meiadiaksa Permana
IJFL (International Journal of Forensic Linguistic) Vol. 2 No. 1 (2021)
Publisher : Universitas Warmadewa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/ijfl.3.1.4994.47-51

Abstract

Nowadays, technological developments have contributed to the sustainability of human life. Especially in the field of law or forensics which continues to evolve with the times. Sound recording evidence can show the identity of the person whose voice is recorded on the evidence by means of perform audio forensic examination for voice recognition. Therefore, this study is aimed to analyze the sounds by using the comparative method. Technically, this method is proposed to compare the sound of goods evidence with recorded sound for comparison. In this study, the analysis was limited to identify the value of voice recognition on the statistics of pitch and formant. If the results of voice recognition indicates that the voice of the conversation that is inside the evidence is identical to the voice of the perpetrator, then it can be concluded that the voice of the conversation inside the recorded evidence is the voice belonging to the perpetrator so that the voice record can be used as strong evidence in court. As conclusion, the difference between the voice of the original speaker and the voice of the comparison speaker are clearly shown in some parts of pitch and formant. On the other hand, there is no similarity of each word in value of pitch (F0) in the low, medium, and high voices of native speakers with non-native speakers. Thus, the indicators of the validity of the original sound proof (native speaker) look vague and can't even be proven
ANALYZE VOICE RESEMBLANCE TOWARDS MOBILE PHONE’S VOICE RECORDER (AUDIO FORENSIC METHOD) Komang Helianti
IJFL (International Journal of Forensic Linguistic) Vol. 2 No. 1 (2021)
Publisher : Universitas Warmadewa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/ijfl.3.1.4995.41-46

Abstract

Audio forensics is one of the sciences that juxtaposes between science and scientific methods in the process of sound recording analysis to assist and support the disclosure of a crime required in the trial process. This article is intended to Analyze Voice Resemblance Towards Mobile Phone’s Voice Recorder: An Implementation of The Forensic Method Using Voice Recognition Technique, by using Forensic audio method In Audio forensics: Theory and Analysis, namely Pitch Statistical Analysis, Formant and Bandwidth Statistical Analysis, Graphical Distribution Analysis and Spectogram Analysis. However, in this study, researchers only focus on identifying pitch and formants in the data to be analyzed. The results showed that most of the F1-F4 values of the comparison voices showed higher results than the original voices. However, there are several voices that have F1-F4 results that are close to the original sound, namely PP2 on behalf of Dayu Inten and PP4 on behalf of Chandra
Analyze Voice Resemblance Towards Mobile Phone’s Voice Recorder: An Implementation Of The Forensic Method Using Voice Recognition Technique Stephanus Made Kevin Steven Christian
IJFL (International Journal of Forensic Linguistic) Vol. 2 No. 1 (2021)
Publisher : Universitas Warmadewa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/ijfl.3.1.4996.34-40

Abstract

Audio forensics is one of the sciences that mnyandingkan between science and scientific methods in the process of sound recording analysis to assist and support the disclosure of a crime required in the trial process. This article is intended to Analyze Voice Resemblance Towards Mobile Phone’s Voice Recorder: An Implementation of The Forensic Method Using Voice Recognition Technique, by using Forensic audio method In Audio forensics: Theory and Analysis, namely Pitch Statistical Analysis, Forman and Bandwidth Statistical Analysis, Graphical Distribution Analysis and Spectogram Analysis. However, in this study, researchers only focus on identifying pitch and formants in the data to be analyzed. The results of the data analysis it can be stated that the accuracy of the pitch analysis (F0) through Praat is very low and cannot be used as an indicator to distinguish that a data is correct as the original voice, as evidenced by the results of the F0 value of the original voice data and a very flexible and inconsistent comparison, some are the same, close to and even far from the F0 value of the subject data. This shows that everyone has a different pitch value because the intonation of each person's word pronunciation is different. It is possible that there are pitch values from several subjects that are almost the same.
Analysis Voice On Mobile Phone’s Voice Recorder By Using Audio Forensic Method Indah Permata Sari
IJFL (International Journal of Forensic Linguistic) Vol. 2 No. 1 (2021)
Publisher : Universitas Warmadewa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55637/ijfl.3.1.4997.27-33

Abstract

Audio forensics is one of the sciences that juxtaposes between science and scientific methods in Analyze Voice on Mobile Phone's Voice Recorder By Using Audio Forensic Method, by using Forensic audio method In Audio forensics: Theory and Analysis, are Pitch Statistical Analysis, Formant and Bandwidth Statistical Analysis, Graphical Distribution Analysis and Spectrogram Analysis. However, in this study, researchers only focus on identifying pitch and formants in the data to be analyzed. This study provides an example scenario of applying digital forensic techniques for voice pain recognition. Greetings compare the sound in the evidence and the sound suspect on mobile phone media with a voice case study woman. In this study, a Praat application was used to help with the audio comparison process from Known Samples and Unknown Samples. The results showed that based on the F0 analysis of the voice data with PRAAT, the difference between the original speaker's voice and the voice of the comparison speaker could be seen. There is no similarity F0 in the low, medium, and high pitch voices of native speakers with comparison speakers. From these results, it can be seen that there are no three F0's in the low, medium, and high tones of the word "proyek" from the same comparison speaker as the original speaker. Based on the F1-F4 analysis of the voice data with PRAAT, the difference between the voice of the original speaker and the voice of the comparison speaker can be seen. No similarity was found between F1-F4 in the low, medium, and high pitched voices of native speakers and comparison speakers. From these results, it can be seen that there are no F1-F4 vocal formants in the word "terlibat" from the same comparison speaker as the native speaker so that the difference becomes apparent

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