Training a recognizer usually improves its accuracy. Training can also be used by speakers that have difficulty speaking, or pronouncing certain words. As long as the speaker can consistently repeat an utterance, ASR systems with training should be able to adapt. Types of Speech Recognition Speech recognition systems can be separated in several different classes by describing what types of utterances they have the ability to recognize. These classes are based on the fact that one of the difficulties of ASR is the ability to determine when a speaker starts and finishes an utterance.
Most packages can fit into more than one class, depending on which mode they're using.
It doesn't mean that it accepts single words, but does require a single utterance at a time. Isolated Utterance might be a better name for this class. Continuous Speech Continuous recognition is the next step. Recognizers with continuous speech capabilities are some of the most difficult to create because they must utilize special methods to determine utterance boundaries. Continuous speech recognizers allow users to speak almost naturally, while the computer determines the content.