Emotion Recognition Through Speech

Registration ID: IJNRD_219325

Published ID: IJNRD2404677

DOI: Click Here to Get

Rishita Dube , Pratyush Singh , Ritika Singh , Sakshi Singh

Emotion recognition, speech analysis, deep learning, Flask, web application.

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.

Published Paper   E-Certificate

Rishita Dube, Pratyush Singh, Ritika Singh, & Sakshi Singh (April-2024). Emotion Recognition Through Speech. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), g637-g640. https://ijnrd.org/papers/IJNRD2404677.pdf

Volume 9 Issue 4, April-2024

Pages : g637-g640

Paper Reg. ID: IJNRD_219325

Published Paper Id: IJNRD2404677

Downloads: 000121988

Research Area: Computer Science & Technology 

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404677.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404677

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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