The correct answer is: A. continuous speech recognition
Continuous speech recognition is a type of speech recognition that can handle continuous speech, i.e. speech that is not broken up into words or phrases. This is in contrast to isolated word recognition, which can only handle speech that is spoken one word at a time.
Continuous speech recognition is more difficult than isolated word recognition because it has to deal with the problem of coarticulation, which is the phenomenon where the pronunciation of one sound is affected by the sounds that come before and after it. For example, the “t” sound in the word “butter” is pronounced differently than the “t” sound in the word “top” because of the influence of the “u” sound that comes before it.
Continuous speech recognition systems typically use a technique called dynamic time warping (DTW) to deal with the problem of coarticulation. DTW is a time-warping algorithm that allows the system to compare two sequences of sounds even if they have different lengths. This allows the system to recognize words that are pronounced differently depending on the context.
Here is a brief explanation of each option:
- A. Continuous speech recognition is a type of speech recognition that can handle continuous speech, i.e. speech that is not broken up into words or phrases. This is in contrast to isolated word recognition, which can only handle speech that is spoken one word at a time.
- B. Connected word recognition is a type of speech recognition that is similar to continuous speech recognition, but it does not handle coarticulation as well. This is because connected word recognition systems typically use a technique called template matching, which is a simpler algorithm than DTW.
- C. Isolated word recognition is a type of speech recognition that can only handle speech that is spoken one word at a time. This is because isolated word recognition systems typically use a technique called template matching, which is a simpler algorithm than DTW.
- D. Speaker-dependent recognition is a type of speech recognition that is trained on a specific speaker’s voice. This is in contrast to speaker-independent recognition, which can be used with any speaker’s voice.
- E. None of the above is not a valid option.