DeepSpeech-examples VS py-webrtcvad

Compare DeepSpeech-examples vs py-webrtcvad and see what are their differences.

py-webrtcvad

Python interface to the WebRTC Voice Activity Detector (by wiseman)
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DeepSpeech-examples py-webrtcvad
2 2
800 1,878
0.9% -
0.0 0.0
9 months ago 11 months ago
Python C
- GNU General Public License v3.0 or later
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.

DeepSpeech-examples

Posts with mentions or reviews of DeepSpeech-examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-21.

py-webrtcvad

Posts with mentions or reviews of py-webrtcvad. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-21.
  • Whisper – open source speech recognition by OpenAI
    22 projects | news.ycombinator.com | 21 Sep 2022
    Haven’t tried it yet but love the concept!

    Have you thought of using VAD (voice activity detection) for breaks? Back in my day (a long time ago) the webrtc VAD stuff was considered decent:

    https://github.com/wiseman/py-webrtcvad

    Model isn’t optimized for this use but I like where you’re headed!

  • Ask HN: I want to get started with Speech-to-Text. Where do I begin?
    1 project | news.ycombinator.com | 13 Jan 2022
    As part of ETL or just basic understanding about the how the speech data is handled try this tool : https://github.com/wiseman/py-webrtcvad

    It is a python wrapper for a library for voice activity detection. It acts as a starting point while working on speech recognition problems. Helped me understand and discover a lot of concepts related to audio signal and data when I was in your shoes.

What are some alternatives?

When comparing DeepSpeech-examples and py-webrtcvad you can also consider the following projects:

whisper

plaidml - PlaidML is a framework for making deep learning work everywhere.

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

trashbot - Trashbot helper AI assistant

openai-whisper-realtime - A quick experiment to achieve almost realtime transcription using Whisper.

PaddleSpeech - Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

wer_are_we - Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

whisper - Robust Speech Recognition via Large-Scale Weak Supervision

vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Leon - 🧠 Leon is your open-source personal assistant.

dragonfly - Speech recognition framework allowing powerful Python-based scripting and extension of Dragon NaturallySpeaking (DNS), Windows Speech Recognition (WSR), Kaldi and CMU Pocket Sphinx