• Ronit Sadashiv Gavali
• Rutik Sanjay Bodke
• Shamoon Ahmad Ansari
• Bhavesh Kumar jha
• Sharique Ahmad

This paper introduces a method for detecting emotions by using the audio data, which holds the significant importance in many real life applications such as mental health monitoring, education and learning, sentiment analysis, customer service but is has high importance in the businesses seeking to understand market insights.Detecting the emotion from the has wide range of scope. By integrating Convolutional Neural Networks (CNNs), our approach provides a comprehensive understanding of emotional response within an audio content, thereby aiding market analysis and consumer sentiment assessment. In today's era businesses increasingly rely on consumer feedback and market insights to make more informed decisions. Emotion detection from audio data offers a nuanced understanding of consumer sentiment, enabling businesses to gauge customer satisfaction, identify emerging trends and tailor their products and services accordingly. The CNN component is used to identify spatial patterns within spectrograms. The CNNs analyze the spectrogram frequency, time, amplitude to identify the spatial patterns in the audio. This helps in accurate emotion detection. Our approach helps businesses to make more informed decision making by analyzing the market. Emotion detection helps identify sentiment trends and sentiment shifts, enabling proactive reputation management strategies.By analyzing customer reactions in focus groups, product demonstrations, or user testing sessions, businesses can identify features that evoke positive emotions and areas for improvement. The result of our system on the business perspective is, it shows emotion percentage from the input data and it can be visualized through the pie-chart based on the model and the effectiveness of that product or campaign, advertisement, etc shown with the increase or decrease line graph.

python Programming, Speech ,Convolutional Neural Networks, Deep Learning.

"THE REAL AUDIO EMOTION DETECTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.e324-e332, April-2024, Available :http://www.jetir.org/papers/JETIR2404438.pdf

"THE REAL AUDIO EMOTION DETECTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppe324-e332, April-2024, Available at : http://www.jetir.org/papers/JETIR2404438.pdf