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24 alternatives to Using 3D Convolutional Neural Networks for Speaker Verification

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification - astorfi/3D-convolutional-speaker-recognition

This project applies 3D convolutional neural networks to speaker verification, the process of identifying individuals by their voice characteristics. Released in 2017, it is designed for developers and researchers… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Using 3D Convolutional Neural Networks for Speaker Verification launched in 2017; newer entries below may have overtaken it.

  1. 1

    :unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures - astorfi/lip-reading-deeplearning

    2018 · github.com · its alternatives →

  2. 2

    End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow - GitHub - zzw922cn/Automatic_Speech_Recognition: End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

    2017 · github.com · its alternatives →

  3. 3

    Identify a spoken language using artificial intelligence (LID). - tomasz-oponowicz/spoken_language_identification

    2018 · github.com · its alternatives →

  4. 4

    DeepFace is a leading open-source library for facial recognition and facial attribute analysis, and the de facto standard in Python. It wraps multiple state-of-the-art models that have reached — and even surpassed — human-level accuracy in recognizing faces. By the numbers (as of early 2025): 15,000+ stars on GitHub; ~4 million installations via pip; 800+ citations in academic papers Whether you're building a cutting-edge AI project or simply exploring facial recognition, DeepFace makes advanced capabilities accessible with just a few lines of code.

    2025 · github.com · its alternatives →

  5. 5

    Build Powerful Voice Agents

    2025 · openai.com · its alternatives →

  6. 6GC

    Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...

    2016 · tkipf.github.io · its alternatives →

  7. 7

    First TTS model to support all 22 Indic languages + English

    2024 · its alternatives →

  8. 8
    Voicebox▲216

    An all-in-one generative Al model for speech

    2023 · ai.meta.com · its alternatives →

  9. 9

    :satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources

    2019 · github.com · its alternatives →

  10. 10

    Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  11. 11
  12. 12

    Abstract page for arXiv paper 1908.06062: Adversarial shape perturbations on 3D point clouds

    2019 · arxiv.org · its alternatives →

  13. 13

    Train and deploy speech AI models for free

    2020 · console.deepgram.com · its alternatives →

  14. 14
    Sonnet▲134

    A new library for constructing neural networks from DeepMind

    2017 · deepmind.google · its alternatives →

  15. 15

    Our goal with this project is to build a completely open source, state of the art turn detection model that can be used in any voice AI application. I've been experimenting with LLM voice conversations since GPT-4 was first released. (There's a previous front page Show HN about Pipecat, the open source voice AI orchestration framework I work on. [1]) It's been almost two years, and for most of that time, I've been expecting that someone would "solve" turn detection. We all built initial, pretty good 80/20 versions of turn detection on top of VAD (voice activity detection) models. And…

    2025 · github.com · its alternatives →

  16. 16

    Deep learning is a fast-growing field within artificial intelligence, and deep neural networks have seen rapid adoption in recent years. Successes in machine vision, speech recognition and natural language processing show the technology is ripe for adoption by enterprise. Eclipse Deeplearning4j targ

    2017 · projects.eclipse.org · its alternatives →

  17. 17

    Open-source machine learning library by Google

    2018 · tensorflow.org · its alternatives →

  18. 18

    Next-Gen Speech-to-Text with Unmatched Performance

    2023 · deepgram.com · its alternatives →

  19. 19

    Core concepts behind neural networks and deep learning

    2015 · neuralnetworksanddeeplearning.com · its alternatives →

  20. 20

    Highly expressive and natural speech generation model

    2025 · microsoft.ai · its alternatives →

  21. 21UD
  22. 22

    Deep Learning With Keras And Convolutional Neural Networks

    2018 · amazon.com · its alternatives →

  23. 23

    :speech_balloon: Sequence to Sequence from Scratch Using Pytorch - astorfi/sequence-to-sequence-from-scratch

    2019 · github.com · its alternatives →

  24. 24

    :earth_americas: Simple and ready-to-use tutorials for TensorFlow - astorfi/TensorFlow-World

    2019 · github.com · its alternatives →

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