Speaker recognition is a computing task to establish or to verify the speaker’s identity using the speaker’s voice. Spoken language recognition is a task to identify or to confirm the language, dialect or accent that is spoken given a speech sample. Speaker and language recognition are typical pattern recognition tasks that aim to classify speech signals based on a priori knowledge and statistical information extracted from the patterns. In the column article in the November issue of the IEEE Signal Processing Magazine, the interested readers can find a review of speaker and language recognition technologies as well as an introduction on useful online resources, recent evaluations and databases.