Speech is the most significant mode of communication among human beings and a potential
method for human-computer interaction (HCI) by using a microphone sensor. Quantifiable …

Speech emotion recognition (SER) plays a vital role in human–machine interaction. A large
number of SER schemes have been anticipated over the last decade. However, the …

Speech emotion recognition (SER) plays a significant role in human–machine interaction.
Emotion recognition from speech and its precise classification is a challenging task because …

Artificial intelligence (AI) and machine learning (ML) are employed to make systems smarter.
Today, the speech emotion recognition (SER) system evaluates the emotional state of the …

Speech emotion recognition (SER) systems identify emotions from the human voice in the
areas of smart healthcare, driving a vehicle, call centers, automatic translation systems, and …

Emotional state recognition of a speaker is a difficult task for machine learning algorithms
which plays an important role in the field of speech emotion recognition (SER). SER plays a …

Speech emotion recognition (SER) is one of the most challenging and active research topics
in data science due to its wide range of applications in human–computer interaction …

Speech emotion recognition (SER) is the process of predicting human emotions from audio
signals using artificial intelligence (AI) techniques. SER technologies have a wide range of …

Speech signal processing is an active area of research, the most dominant source of
exchanging information among human beings, and the best way for human–computer …

Artificial intelligence, deep learning, and machine learning are dominant sources to use in
order to make a system smarter. Nowadays, the smart speech emotion recognition (SER) …