In speech recognition which model gives the probability of each word following each word?

Biagram model gives the probability of each word following each other word in speech recognition.

The correct answer to this question would be the “n-gram language model.” An n-gram language model is a statistical model that predicts the probability of the next word in a sequence given the previous n-1 words. It is widely used in speech recognition and natural language processing tasks to estimate the likelihood of a word occurring in a given context. Specifically, a bigram model predicts the probability of the next word based on the current word, and a trigram model predicts the probability based on the two preceding words, and so on.