Speech Emotion Recognition (SER) involves analyzing various acoustic features of speech signals to identify emotional states. These features include pitch, volume, tempo, and pauses in speech. Machine ...

Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.