Emotion Recognition System from Speech using Convolutional Neural Networks

Year 2022, , 137 - 143, 10.10.2022

Metehan Aydin , Bülent Tuğrul , Yilmaz Ar

https://doi.org/10.53070/bbd.1174033

Abstract

Emotions can affect human behaviors directly. This situation makes people want to learn the emotion states of the other people they are in touch. The emotion state information can be used in lots of areas in order to improve efficiency. It is a challenging task and requires a wide working pipeline starting from data acquisition to classification. Today, many researchers work in order to recognize emotions using different techniques including text analyzing, body movement analyzing, facial expressions and voice. In this work, we proposed an approach for this problem. Our approach uses human voice and makes classification using a convolutional neural network. The paper explains how our recognizer pipeline is created and how it works in detail.

Keywords

emotion recognition, voice recognition, speech recognition, convolutional neural networks

Project Number

Yok

Evrişimsel Sinir Ağları ile Konuşmadan Duygu Tanıma Sistemi

Abstract

Duygular insan davranışlarını doğrudan etkileyebilir. Bu durum kişilerin iletişimde oldukları diğer kişilerin duygu durumlarını öğrenmek istemelerine neden olur. Duygu durumu bilgisi, verimliliği artırmak için birçok alanda kullanılabilir. Bu zorlu bir iştir ve veri toplamadan sınıflandırmaya kadar geniş bir çalışma süreci gerektirir. Günümüzde birçok araştırmacı, metin analizi, vücut hareketi analizi, yüz ifadeleri ve ses gibi farklı teknikleri kullanarak duyguları tanımak için çalışmaktadır. Bu çalışmada, bu problem için bir yaklaşım önerdik. Yaklaşımımız insan sesini ve evrişimsel bir sinir ağını kullanarak sınıflandırma yapar. Makalemiz tanıma sürecinin nasıl oluşturulduğunu ve nasıl çalıştığını ayrıntılı olarak açıklamaktadır.

Keywords

duygu tanıma, ses tanıma, konuşma tanıma, evrişimsel sinir ağları

Supporting Institution

Yok

Project Number

Yok

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