Before revision:  In this paper, we present a deep Neural Network-based architecture called EmoAudioNetwhich studies the time-frequency representation of the audio signal and the visual representation of its spectrum of frequencies.
After revision:  In this paper, we present a framework for emotions recognition and depression diagnosis from speech called EmoAudioNet. To preserve the high privacy of patient data, only speech is used. The deep EmoAudioNet studies the time-frequency representation of the audio signal and the visual representation of its spectrum of frequencies.