Background

Current deep-learning first approaches have shown promising results for the speech text diarization task. For ASR-independent diarization, specifically, two main methods appear as yielding fruitful conclusions:

1. Auditory feature extraction using deep learning to create a trained, fixed-size latent representation via Mel-frequency cepstral coefficients slices that came from any existing voice-activity detection (VAD) scheme ((Snyder et al. 2018)), where the features extracted with the neural network are later used with traditional clustering and Variational Bayes refinement ((Sell et al. 2018; Landini et al. 2022)) approaches to produce groups of diarized speakers

Translation Theory

Translation Theory is the theory that studies how translation works.

Spectrum of Translation

domestication and foreignization are processes by which a translator can choose to alter the style of a translation for a purpose.

foreignization

trying to bring the target language closer to the source language

• bring in foreign words
• use colourful idioms
• use old words

domestication

trying to bring he source language closer to the target language

A load perpendicular to the long end of a rod. Think of a metal rod lying flat on the ground; a transverse