The Heard and Understood App provides a way to explore and classify silence and gaps in conversations.
This is an Open Community Research Accelerator (ORCA) project in collaboration with the Vermont Conversation Lab and their GitHub organization Heard & Understood(tm). This supports the exploration and adoption of the CONSert (Connectional Silence Ensemble-BERT) algorithm which uses a combination of Random Forests, Convolutional Neural Networks, OpenAI Whisper Transcriptions and a BERT ML model to detect, locate and classify pauses. Pauses will be classified as either Non-Connectional, Emotional, or Invitational.
Pause Types:
- Non-Connectional - a pause that does not provide connectional context for the rest of the conversation
- Emotional - a pause which provides time for emotional reflection
- Invitational - a pause that invites another speaker to interact with the conversation
The methods used in this package are based on the methods used in Matt et al. 2023.
Matt et al. 2023: Matt, Jeremy E et al. “An Acoustical and Lexical Machine-Learning Pipeline to Identify Connectional Silences.” Journal of palliative medicine, 10.1089/jpm.2023.0087. 13 Jul. 2023, doi:10.1089/jpm.2023.0087
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- Fernanda De Oliveira Girelli (Team Lead)
- Johnna Schulz
- Adrien Monks
- Tucker Schulz
- Felix Walberg
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This project is licensed under the Apache 2.0 License - see the LICENSE.md file for details
This project would not be possible without Robert "Bob" Gramling, MD and Donna Rizzo and the work by the Vermont Conversation Lab at the University of Vermont (UVM)