Disfluency Detection identifies interruptions in natural speech, including filler words, repetitions, false starts, and self-corrections. AI systems detect these patterns before or during language processing.
Voice AI platforms use Disfluency Detection to improve transcription quality, conversation summaries, and language understanding. Removing unnecessary speech patterns creates cleaner transcripts and more accurate AI responses.