A method implemented by one or more processors, the method comprising: receiving audio data, wherein the audio data is based on detection of spoken input of a user at a client device, the client device including an automated assistant interface for interacting with an automated assistant; determining that the audio data corresponds to a user profile accessible to the automated assistant; identifying a first language assigned to the user profile, and a first probability metric assigned to the first language in the user profile; selecting a first speech recognition model for the first language, wherein selecting the first speech recognition model for the first language is based on identifying the first language as assigned to the user profile; using the selected first speech recognition model to generate first text in the first language, and a first measure that indicates a likelihood the first text is an appropriate representation of the spoken input; identifying a second language assigned to the user profile, and a second probability metric assigned to the second language in the user profile; selecting a second speech recognition model for the second language, wherein selecting the second speech recognition model for the second language is based on identifying the second language as assigned to the user profile; using the selected second speech recognition model to generate second text in the second language, and a second measure that indicates a likelihood the second text is an appropriate representation of the spoken input; selecting the first text in the first language in lieu of the second text in the second language, wherein selecting the first text in the first language in lieu of the second text in the second language is based on: the first probability metric, the first measure, the second probability metric, and the second measure; and in response to selecting the first text: causing the automated assistant to provide responsive content that is determined based on the selected first text. receiving audio data, wherein the audio data is based on detection of spoken input of a user at a client device, the client device including an automated assistant interface for interacting with an automated assistant; determining that the audio data corresponds to a user profile accessible to the automated assistant; identifying a first language assigned to the user profile, and a first probability metric assigned to the first language in the user profile; selecting a first speech recognition model for the first language, wherein selecting the first speech recognition model for the first language is based on identifying the first language as assigned to the user profile; using the selected first speech recognition model to generate first text in the first language, and a first measure that indicates a likelihood the first text is an appropriate representation of the spoken input; identifying a second language assigned to the user profile, and a second probability metric assigned to the second language in the user profile; selecting a second speech recognition model for the second language, wherein selecting the second speech recognition model for the second language is based on identifying the second language as assigned to the user profile; using the selected second speech recognition model to generate second text in the second language, and a second measure that indicates a likelihood the second text is an appropriate representation of the spoken input; selecting the first text in the first language in lieu of the second text in the second language, wherein selecting the first text in the first language in lieu of the second text in the second language is based on: the first probability metric, the first measure, the second probability metric, and the second measure; and in response to selecting the first text: causing the automated assistant to provide responsive content that is determined based on the selected first text.