DeepCNN: spectro‐temporal feature representation for speech emotion recognition
Speech emotion recognition (SER) is an important research problem in human‐computer
interaction systems. The representation and extraction of features are significant challenges …
interaction systems. The representation and extraction of features are significant challenges …
A comparison of CQT spectrogram with STFT-based acoustic features in Deep Learning-based synthetic speech detection
Automatic Speaker Verification (ASV) systems have proven to bevulnerable to various types
of presentation attacks, among whichLogical Access attacks are manufactured using …
of presentation attacks, among whichLogical Access attacks are manufactured using …