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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: November 2023

Volume 8 | Issue 11

Impact factor: 8.15

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Paper Title: Speech Emotion Recognition Using Librosa
Authors Name: Kopparapu Nikhil , Kattubadi Drutesh , Abhishek Kumar Reddy Manchuri , Bikki Hari Kiran , Vakil Sai Teja
Unique Id: IJSDR2305178
Published In: Volume 8 Issue 5, May-2023
Abstract: Speech emotion recognition (SER) has numerous uses in industries like psychology, entertainment, and healthcare and is a critical component of human-computer interaction. Deep learning techniques have advanced recently, and SER has drawn a lot of interest from the research community. Use of the librosa Python package for music and audio analysis, which offers a number of functions for feature extraction from voice signals, is one such method. In this study, we explain the key features and techniques for feature extraction and classification, and we examine the state-of-the-art methodologies for SER utilising librosa. We also point out the difficulties and restrictions associated with using librosa for SER and offer some potential paths for further study in this area. Overall, this paper sheds light on librosa's potential.
Keywords: Speech Emotion Recognition, Librosa, Kaggle, Spectrogram, Mel-Spectrogram, RAVDEES dataset,MLP
Cite Article: "Speech Emotion Recognition Using Librosa", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1119 - 1127, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305178.pdf
Downloads: 000314594
Publication Details: Published Paper ID: IJSDR2305178
Registration ID:206397
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1119 - 1127
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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