Language model customization techniques and applications thereof

A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:

• identifying a plurality of words among first content, wherein the first content corresponds to a use case;
• adjusting a language model based on the plurality of words in order to create a customized language model, wherein the customized language model is configured to output language predictions when applied to features extracted from audio content, wherein the language model is adjusted to increase a likelihood that the language model outputs the plurality of words as language predictions;
• applying the customized language model to second content in order to determine a plurality of outputs of the customized language model, wherein the second content is audio content corresponding to the use case;
• and
• determining speech recognition outputs based on the plurality of outputs of the customized language model.

A system for automated speech recognition using customized language models, comprising:

• a processing circuitry;
• and
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
• identify a plurality of words among first content, wherein the first content corresponds to a use case;
• adjust a language model based on the plurality of words in order to create a customized language model, wherein the customized language model is configured to output language predictions when applied to features extracted from audio content, wherein the language model is adjusted to increase a likelihood that the language model outputs the plurality of words as language predictions;
• apply the customized language model to second content in order to determine a plurality of outputs of the customized language model, wherein the second content is audio content corresponding to the use case;
• and
• determine speech recognition outputs based on the plurality of outputs of the customized language model.