Fluent.ai’s speech-to-intent technology employs unique neural network algorithms to directly map the incoming speech of a user to their intended action without the need to perform speech to text transcription. During training, Fluent.ai technology learns by directly associating semantic representations of a speaker’s intended actions with the spoken utterances. In a way, our models are based on the concept of vocabulary and language acquisition in humans. Unlike conventional automatic speech recognition (ASR), Fluent.ai technology does not require phonetic transcription. Our text-independent approach enables the development of speech understanding models that can learn to recognize a new language from a small amount of data, and allows the end-users to interact with the devices in a language of their choice. The user does not need to conform to any preset phrases and is free to choose words of their preference.

Competitive Advantages