5.3.2 Dataset
The VoxCeleb dataset (VoxCeleb 1 & 2) is widely used in speaker recognition research, as mentioned
in [92]. This dataset consists of speech data collected from publicly available media, employing a
fully automated pipeline that incorporates computer vision techniques. The pipeline retrieves videos
from YouTube and applies active speaker verification using a two-stream synchronization CNN.
Speaker identity is further confirmed through CNN-based facial recognition. Another commonly
employed dataset is TIMIT, which comprises recordings of phonetically balanced English sentences
spoken by a diverse set of speakers. TIMIT is commonly used for evaluating speech recognition
and speaker identification systems, as referenced in [153].

A Review of Deep Learning Techniques for Speech Processing

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