EmoV-DB
Discover the Emotional Voices Database aimed at improving emotional expressiveness in speech synthesis. Derived from the CMU Arctic database, it includes audio from four speakers in various emotional styles, such as neutral, anger, and amusement, in 16-bit .wav format. Essential for TTS development, this dataset employs Montreal Forced Aligner for precise phoneme timing to differentiate vocal types. Access the guide for usage and download details.
