All speech identification systems depend on at least 2 models:

an acoustic model and a language model. In adding up large vocabulary systems use a accent model. It is important to understand that there is no such thing as a universal speech recognizer.

To get thefinest transcription quality, all of these models can be particular for a given language, application domain, dialect, type of speech, and communication channel.

From the user's point of view, a speech-to-text system can be considered based in its use: command and control, text dictation, dialog system, audio document transcription, etc. Each use has particular requirements in terms of latency, vocabulary size, memory constraints, and adaptive features

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