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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21521
Article Published : 8515
Total Authors : 22403
Total Reviewer : 805
Total Countries : 158
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| Paper Title: | CLASSIFIER ANALYSIS FOR GENDER IDENTIFICATION THROUGH VOICE |
| Authors Name: | Mrs. P. SANGEETA , B. Jyothi , Ch. Navya , E. Hemanth Kumar , G. Akash |
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IJRTI_186362
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| Published Paper Id: | IJRTI2304263 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Gender classification is one of the major problems in field of speech analysis now-a-days. Identification of gender from acoustic properties of voice that is, mean, median, frequency etc. is the highly important. Machine learning is used to solve this problem because it gives promising results for classification techniques. There are several algorithms that can be used to predict the gender using acoustic properties. In our project, we are evaluating classifiers using 4 different machine learning algorithms. These algorithms include, Random Forest (RF), and AdaBoost, XG Boost and Gradient Boosting (GB). The main parameter involved is the accuracy obtained using all these classifiers. we are trying to assess the accuracy, confusion matrix obtained after predicting on test data for all these classifiers and finally the best fit model will be generated for gender classification of acoustic data. |
| Keywords: | Machine learning, Gender classification, Acoustic attributes |
| Cite Article: | "CLASSIFIER ANALYSIS FOR GENDER IDENTIFICATION THROUGH VOICE", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1595 - 1599, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304263.pdf |
| Downloads: | 000205228 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2304263
Registration ID:186362
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1595 - 1599 Country: Vizianagaram, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304263 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304263 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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