Corpus ID: 237260226

Development of a Conversation State Prediction System

@inproceedings{Rittikar2021DevelopmentOA,
  title={Development of a Conversation State Prediction System},
  author={Sujay Uday Rittikar},
  year={2021}
}
With the evolution of the concept of Speaker diarization using LSTM, it’s relatively easier to understand the speaker identities for specific segments of input audio stream data than manually tagging the data. With such a concept, it’s highly desirable to consider the possibility of using the identified speaker identities to aid in predicting the future Speaker States in a conversation. In this study, the Markov Chains are used to identify and update the Speaker States for the next… Expand

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References

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