whisper-youtube VS vosk-api

Compare whisper-youtube vs vosk-api and see what are their differences.

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whisper-youtube vosk-api
3 61
322 7,085
- 2.2%
2.9 6.6
17 days ago 5 days ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

whisper-youtube

Posts with mentions or reviews of whisper-youtube. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.

vosk-api

Posts with mentions or reviews of vosk-api. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-05.

What are some alternatives?

When comparing whisper-youtube and vosk-api you can also consider the following projects:

bark - 🔊 Text-Prompted Generative Audio Model

whisper - Robust Speech Recognition via Large-Scale Weak Supervision

whisper-diarization - Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

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

soxan - Wav2Vec for speech recognition, classification, and audio classification

vosk-server - WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries

gpt-j-fine-tuning-example - Fine-tuning 6-Billion GPT-J (& other models) with LoRA and 8-bit compression

TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

streamlit - Streamlit — A faster way to build and share data apps.

AutoSub - A CLI script to generate subtitle files (SRT/VTT/TXT) for any video using either DeepSpeech or Coqui

Bangla-Spoken-Number-Recognition - recognizing spoken Bangla numbers using MFCCs and CNN.

DeepSpeech - Install Mozilla DeepSpeech on a Raspberry Pi 4