A method implemented by one or more processors, the method comprising: receiving audio data corresponding to a spoken utterance of a user, the audio data being based on detection of the spoken utterance by a client device that includes an automated assistant interface for interacting with an automated assistant; processing the audio data using a first speech recognition model corresponding to a first language; determining, based on processing the audio data using the first speech recognition model, content that is responsive to the spoken utterance of the user; causing the client device to render the content to the user and to monitor for additional spoken input following the rendering; receiving, during the monitoring, additional audio data corresponding to an additional spoken utterance, the additional audio data being based on detection of the additional spoken utterance by the automated assistant interface of the client device; determining an anticipated type of input for the additional spoken utterance, wherein the anticipated type of input includes an anticipated diction or anticipated terminology for the additional spoken utterance, and wherein determining the anticipated type of input is based on historical interaction data that identifies at least one interaction, between the user and the automated assistant, in which the user provided particular diction or particular terminology to the automated assistant; determining, based on the anticipated type of input for the additional spoken utterance, whether to utilize the first speech recognition model for the first language, or an alternative speech recognition model for a second language, in determining further responsive content to provide in response to the additional spoken utterance; and causing the client device to render the further responsive content. receiving audio data corresponding to a spoken utterance of a user, the audio data being based on detection of the spoken utterance by a client device that includes an automated assistant interface for interacting with an automated assistant; processing the audio data using a first speech recognition model corresponding to a first language; determining, based on processing the audio data using the first speech recognition model, content that is responsive to the spoken utterance of the user; causing the client device to render the content to the user and to monitor for additional spoken input following the rendering; receiving, during the monitoring, additional audio data corresponding to an additional spoken utterance, the additional audio data being based on detection of the additional spoken utterance by the automated assistant interface of the client device; determining an anticipated type of input for the additional spoken utterance, wherein the anticipated type of input includes an anticipated diction or anticipated terminology for the additional spoken utterance, and wherein determining the anticipated type of input is based on historical interaction data that identifies at least one interaction, between the user and the automated assistant, in which the user provided particular diction or particular terminology to the automated assistant; determining, based on the anticipated type of input for the additional spoken utterance, whether to utilize the first speech recognition model for the first language, or an alternative speech recognition model for a second language, in determining further responsive content to provide in response to the additional spoken utterance; and causing the client device to render the further responsive content.