Which approach to speech recognition avoids the problem caused by the variation in speech patterns among different speakers? A. Continuous speech recognition B. Isolated word recognition C. Connected word recognition D. Speaker-dependent recognition E. None of the above

The correct answer is: D. Speaker-dependent recognition

Speaker-dependent recognition is a type of speech recognition that is trained on the speech of a single individual. This type of recognition is more accurate than speaker-independent recognition, which is trained on the speech of a group of people. Speaker-dependent recognition is often used in applications where accuracy is critical, such as in dictation software or voice-activated assistants.

Here is a brief explanation of each option:

• A. Continuous speech recognition is a type of speech recognition that can handle continuous speech, without requiring the speaker to pause between words. This type of recognition is more difficult than isolated word recognition, but it is more natural and efficient for the speaker.
• B. Isolated word recognition is a type of speech recognition that requires the speaker to pause between words. This type of recognition is easier than continuous speech recognition, but it is less natural and efficient for the speaker.
• C. Connected word recognition is a type of speech recognition that is intermediate between continuous speech recognition and isolated word recognition. It allows the speaker to speak more naturally, but it still requires some pauses between words.
• D. Speaker-dependent recognition is a type of speech recognition that is trained on the speech of a single individual. This type of recognition is more accurate than speaker-independent recognition, which is trained on the speech of a group of people. Speaker-dependent recognition is often used in applications where accuracy is critical, such as in dictation software or voice-activated assistants.
• E. None of the above is not a valid option.