Speech recognition with selective use of dynamic language models

One or more non-transitory computer-readable media having instructions stored thereon that, when executed by one or more processors, cause performance of operations comprising:

• receiving speech data that characterizes an utterance of a user;
• generating a candidate transcription of the utterance using a static class-based language model that includes a plurality of static classes, each static class populated with a pre-defined set of class-based terms that were selected for inclusion in the static class independently of a context of the utterance or the user;
• determining whether the candidate transcription includes a class-based term from at least one static class that is capable of being customized based on the context of the utterance or the user;
• in response to determining that the candidate transcription includes a class-based term from at least one static class that is capable of being customized based on the context of the utterance or the user:
• (i) generating a dynamic class-based language model that includes at least one dynamic class that is customized based on the context of the utterance or the user, including generating a first dynamic class by adding dynamic class-based terms that were selected based on the context of the utterance or the user to the pre-defined set of class-based terms for a first static class of the plurality of static classes, and
• (ii) providing, using the dynamic class-based language model, a speech recognition result for the utterance.

A computing system, comprising:

• one or more processors;
• and
• one or more computer-readable media having instructions stored thereon that, when executed by the one or more processors, cause performance of operations comprising:
• receiving speech data that characterizes an utterance of a user;
• generating a candidate transcription of the utterance using a static class-based language model that includes a plurality of static classes, each static class populated with a pre-defined set of class-based terms that were selected for inclusion in the static class independently of a context of the utterance or the user;
• determining whether the candidate transcription includes a class-based term from at least one static class that is capable of being customized based on the context of the utterance or the user;
• in response to determining that the candidate transcription includes a class-based term from at least one static class that is capable of being customized based on the context of the utterance or the user:
• (i) generating a dynamic class-based language model that includes at least one dynamic class that is customized based on the context of the utterance or the user, including generating a first dynamic class by adding dynamic class-based terms that were selected based on the context of the utterance or the user to the pre-defined set of class-based terms for a first static class of the plurality of static classes, and
• (ii) providing, using the dynamic class-based language model, a speech recognition result for the utterance.