Shypd.aiThe largest open index of AI toolsuis-rnn is an AI tool that implements the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm. It is designed for fully supervised speaker diarization, segmenting and clustering sequential data.
Trending
Also listed in
About
uis-rnn is a Python library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, primarily used for fully supervised speaker diarization. This algorithm excels at segmenting and clustering sequential data by learning from examples. The library provides core APIs for model construction, training, and prediction, allowing users to fit models with observation sequences and ground truth cluster IDs. It supports both list-based and concatenated sequence inputs, with careful handling of cluster ID uniqueness. The tool is particularly useful for tasks like identifying who spoke when in audio recordings, leveraging d-vector embeddings as observations. It also offers guidelines for training on large datasets by calling the fit() function multiple times with appropriately sized inputs.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
