Live Speech Reference Search

Problem

I faced the task of enabling search within meeting transcripts, spanning discussions among 2 to 4 participants, whether conducted online or offline. The aim was to seamlessly reference past discussions during live conversations within the same group.

Objective

The objective was to develop a foundational solution that could later evolve to address this challenge comprehensively. It served as a checkpoint to identify all essential considerations for tackling the aforementioned problem, including:

• Real-time transcription of live conversations, regardless of their online or offline nature.
• Retrieval of past meeting conversations within the same group.
• Ensuring the accuracy and efficiency of reference searches.
• Exploring various scenarios to be accounted for in the solution design process.

Demo Video

Live-Microphone.mp4

Offline-Upload.Mode.mp4

Blog Post

Running the project

Update Hugging face token

Update environment variable for hugging face token in environment.yml

Creating & Activating Environment from conda

conda env create -f environment.yml

conda activate live_speech_reference_search

Start Qdrant

docker compose up

Start UI

gradio app.py

UI Accessible at http://localhost:7860/

Troubleshooting

Issue with spacy - Run following command

python -m spacy download en_core_web_sm

Ffmpeg must be installed

This is tested on GPU with Memory 6gb, You can change device to run on CPU for getting it running

References

• https://pytorch.org/audio/stable/_modules/torchaudio/datasets/tedlium.html
• https://qdrant.tech/articles/sparse-vectors/
• https://www.pinecone.io/learn/splade/
• https://github.com/FullStackRetrieval-com/RetrievalTutorials/blob/main/tutorials/LevelsOfTextSplitting/5_Levels_Of_Text_Splitting.ipynb