STT-examples VS speech-to-text-benchmark

Compare STT-examples vs speech-to-text-benchmark and see what are their differences.

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STT-examples speech-to-text-benchmark
5 5
111 586
0.0% 0.9%
0.0 3.8
over 1 year ago 4 months ago
Python Python
Mozilla Public License 2.0 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.

STT-examples

Posts with mentions or reviews of STT-examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-04.

speech-to-text-benchmark

Posts with mentions or reviews of speech-to-text-benchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-19.

What are some alternatives?

When comparing STT-examples and speech-to-text-benchmark you can also consider the following projects:

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

LocalSTT - Android Speech Recognition Service using Vosk/Kaldi and Mozilla DeepSpeech

speechbrain - A PyTorch-based Speech Toolkit

STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

leopard - On-device speech-to-text engine powered by deep learning

nerd-dictation - Simple, hackable offline speech to text - using the VOSK-API.

DeepSpeech-Italian-Model - Tooling for producing Italian model (public release available) for DeepSpeech and text corpus

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

FedML - FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale.