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 at 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 an 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, wherein the additional spoken utterance is provided by another user; determining that the additional audio data corresponds to a user profile for another user based on matching voice features of the additional audio data to voice features associated with the user profile; determining, based on the user profile, a selection of one or more speech recognitions models to use for processing the additional audio data, the one or more speech recognition models selected from multiple different speech recognition models that include at least the first speech recognition model for the first language and a second speech recognition model for a second language; designating the second speech recognition model for processing the additional audio data; processing the additional audio data according to the selection of the second speech recognition model; and causing the client device to render further responsive content based on the processing of the additional audio data according to the selection of the second speech recognition model. receiving audio data corresponding to a spoken utterance of a user, the audio data being based on detection of the spoken utterance at 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 an 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, wherein the additional spoken utterance is provided by another user; determining that the additional audio data corresponds to a user profile for another user based on matching voice features of the additional audio data to voice features associated with the user profile; determining, based on the user profile, a selection of one or more speech recognitions models to use for processing the additional audio data, the one or more speech recognition models selected from multiple different speech recognition models that include at least the first speech recognition model for the first language and a second speech recognition model for a second language; designating the second speech recognition model for processing the additional audio data; processing the additional audio data according to the selection of the second speech recognition model; and causing the client device to render further responsive content based on the processing of the additional audio data according to the selection of the second speech recognition model. <EOS>