DeepSpeech-examples VS whisper

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

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DeepSpeech-examples whisper
2 1
800 0
0.9% -
0.0 0.0
9 months ago over 1 year ago
Python
- MIT License
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.

whisper

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

What are some alternatives?

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

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

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

py-webrtcvad - Python interface to the WebRTC Voice Activity Detector

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

trashbot - Trashbot helper AI assistant

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

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

optuna-examples - Examples for https://github.com/optuna/optuna