[D] What's stopping you from working on speech and voice?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • Kaldi Speech Recognition Toolkit

    kaldi-asr/kaldi is the official location of the Kaldi project.

  • - https://github.com/kaldi-asr/kaldi

  • espnet

    End-to-End Speech Processing Toolkit

  • - https://github.com/espnet/espnet

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • speechbrain

    A PyTorch-based Speech Toolkit

  • - https://github.com/speechbrain/speechbrain

  • NeMo

    A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  • - https://github.com/NVIDIA/NeMo

  • UniSpeech

    UniSpeech - Large Scale Self-Supervised Learning for Speech

  • - https://github.com/microsoft/UniSpeech

  • VBx

    Variational Bayes HMM over x-vectors diarization

  • - https://github.com/BUTSpeechFIT/VBx

  • thunder-speech

    A Hackable speech recognition library.

  • Have you tried https://github.com/scart97/thunder-speech? It's a smaller repo that is based off of NeMo, but meant to be for more flexible experimentation, and is compatible with huggingface's transformers library.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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