Differential acoustic model representation and linear transform-based adaptation for efficient user profile update techniques in automatic speech recognition

A method comprising:

• loading a user profile for a particular speaker including an initial user feature transform representing speaker adapted speech recognition acoustic models;
• performing speech recognition, by a computing device, for a session of speech utterances from the particular speaker using the initial user feature transform and a plurality of speaker independent speech recognition acoustic models;
• determining a session update transform for a linear transform-based speaker adaptation of the initial user feature transform based on speech recognition data from the session;
• producing an updated user feature transform by combining the initial user feature transform and the session update transform;
• and
• storing in the user profile the updated user feature transform for subsequent speech recognition with the particular speaker.

A non-transitory computer-readable medium storing computer-readable instructions that, when executed by a processor, cause a device to:

• load a user profile for a particular speaker including an initial user feature transform representing speaker adapted speech recognition acoustic models;
• perform speech recognition for a session of speech utterances from the particular speaker using the initial user feature transform and a plurality of speaker independent speech recognition acoustic models;
• determine a session update transform for a linear transform-based speaker adaptation of the initial user feature transform based on speech recognition data from the session;
• produce an updated user feature transform by combining the initial user feature transform and the session update transform;
• and
• store in the user profile the updated user feature transform for subsequent speech recognition with the particular speaker.