pyDenStream VS uis-rnn

Compare pyDenStream vs uis-rnn and see what are their differences.

pyDenStream

Implementation of the DenStream algorithm in Python. (by MrParosk)

uis-rnn

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization. (by google)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
pyDenStream uis-rnn
1 3
9 1,528
- 0.2%
5.2 3.5
about 2 months ago 8 months ago
Python Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pyDenStream

Posts with mentions or reviews of pyDenStream. We have used some of these posts to build our list of alternatives and similar projects.

uis-rnn

Posts with mentions or reviews of uis-rnn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-03.
  • [D] Is there a way to distinguish different human voices from 1 audio file ?
    2 projects | /r/MachineLearning | 3 Oct 2022
    Looks like you can get an put of the box here: https://github.com/google/uis-rnn
  • Putting my degree to use. (Exclude Specials and Guests)
    1 project | /r/TrashTaste | 5 Jun 2021
    Discussion: - When I started this, I thought I would use something like the VoxSort Diarization and it would be easy. But these apps are terrible, especially in recognizing Joey apart from Garnt. Connor has a distinct voice so it was recognizable but still bad. But I didn't think Joey's and Garnt's voices were so similar. - Tested the thing and it's accuracy is almost 99%. - You can still improve this by cutting the episode into smaller chunk but 1 second is the maximum for my computer, any smaller than that i will run out of RAM. I can work to get around this but hey I'm lazy. - The library to implement yourself from google.
  • Finally, my degree can be useful
    1 project | /r/TrashTaste | 5 Jun 2021
    I used this algorithm from Google to determine "who spoke when".

What are some alternatives?

When comparing pyDenStream and uis-rnn you can also consider the following projects:

stringlifier - Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

dedupe - :id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

lightning-bolts - Toolbox of models, callbacks, and datasets for AI/ML researchers.

impfuzzy - Fuzzy Hash calculated from import API of PE files

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

hover - :speedboat: Label data at scale. Fun and precision included.

hazelcast-python-client - Hazelcast Python Client

ECAPA-TDNN - Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)

Clover - An Efficient DNA Clustering algorithm based on Tree Structure.