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Related Questions
- What are the common types of disfluencies in speech and how can they be identified using contextual information from multiple modalities?
- How can audio and visual modalities be combined to improve the accuracy of disfluency detection in speech?
- What are some challenges in incorporating contextual information from multiple modalities to handle disfluencies in speech?
- How can machine learning algorithms be used to classify disfluencies in speech based on audio and visual cues?
- What is the role of prosody and articulation in identifying disfluencies in speech, and how can they be incorporated into a multi-modal approach?
- Can you explain the concept of 'alignment' in multi-modal disfluency detection, and how it can be used to improve the accuracy of speech recognition systems?
- How can contextual information from multiple modalities be used to handle disfluencies in speech in real-time, and what are some potential applications of this technology?
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