Abstract: An intent classification method and a system for realizing the intent classification method are provided. The intent classification method can be used for determining an intent class of a sentence input in a language containing information-bearing characters, such as Chinese. The method specifically comprises a step of obtaining at least one set of word embeddings and character embeddings from the sentence input to thereby generate at least one set of integrated word-character embeddings, and a step of determining an intent class corresponding to the sentence input based on the at least one set of integrated word-character embeddings. Herein, each of the at least one set of integrated word-character embeddings corresponds to one of the at least one set of word embeddings and character embeddings.

Abstract: A speech recognition method includes: providing a system having a local computational device, the local computational device having a microphone, processing circuitry, and a non-transitory computer-readable medium; recording a raw audio waveform utilizing the microphone; determining a background noise condition for the raw audio waveform; comparing the background noise condition to a plurality of linguistic models having associated background noise conditions; determining a nearest match between the background noise condition of the raw audio waveform and the associated background noise condition of at least one of the plurality of linguistic models; and performing an automatic speech recognition (ASR) function between the raw audio waveform and the linguistic model having the matching associated background noise condition.

Abstract: An intent classification method and a system for realizing the intent classification method are provided. The intent classification method can be used for determining an intent class of a sentence input in a language containing information-bearing characters, such as Chinese. The method specifically comprises a step of obtaining at least one set of word embeddings and character embeddings from the sentence input to thereby generate at least one set of integrated word-character embeddings, and a step of determining an intent class corresponding to the sentence input based on the at least one set of integrated word-character embeddings. Herein, each of the at least one set of integrated word-character embeddings corresponds to one of the at least one set of word embeddings and character embeddings.