|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Emotion Recognition Through Speech |
| Authors Name: | Rishita Dube , Pratyush Singh , Ritika Singh , Sakshi Singh |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_219325
|
| Published Paper Id: | IJNRD2404677 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Emotion recognition from speech is a crucial aspect of human-computer interaction, enabling machines to understand and respond to human emotions. This paper presents the Speech-Emotion-Recognition-App, a web-based application designed to analyze and identify emotions from audio inputs. The app integrates various technologies, including Python, Flask, TensorFlow, PyAudio, and Librosa, to preprocess audio data, extract features, and employ a deep learning model for emotion classification. The deep learning model combines Convolutional Neural Networks (CNNs) with Long Short-Term Memory (LSTM) layers to capture both spatial and temporal dependencies in the audio data. Users interact with the app through a user-friendly web interface, where they can record or upload audio for emotion analysis. The app displays predicted emotions in real-time, allowing users to gain insights into the emotional content of their speech. Performance evaluation demonstrates the app's accuracy, efficiency, and usability, with high accuracy achieved in classifying emotions and efficient processing times suitable for real-time applications. Overall, the Speech-Emotion-Recognition-App represents a significant advancement in emotion recognition technology, with potential applications in virtual assistants, mental health monitoring, and customer service. |
| Keywords: | Emotion recognition, speech analysis, deep learning, Flask, web application. |
| Cite Article: | "Emotion Recognition Through Speech", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g637-g640, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404677.pdf |
| Downloads: | 00057 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2404677 Registration ID: 219325 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: g637-g640 Country: Bengaluru, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404677 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404677 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn