Speaker tasks in general are broadly classified into two tasks:
Speaker Recognition is a research area which solves two major tasks: speaker identification (what is the identity of the speaker?) and speaker verification (is the speaker who they claim to be?). where as Speaker Diarization is a task segmenting audio recordings by speaker labels (Who Speaks When?).
In recognition folder we provide scripts for training, inference and verification of audio samples.
In diarization folder we provide scripts for inference of speaker diarization using pretrained VAD (optional) and Speaker embedding extractor models