speech-to-text-benchmark
vosk-build-model
speech-to-text-benchmark | vosk-build-model | |
---|---|---|
5 | 1 | |
655 | 72 | |
0.8% | - | |
4.6 | 0.0 | |
16 days ago | almost 4 years ago | |
Python | Shell | |
Apache License 2.0 | MIT License |
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.
speech-to-text-benchmark
- Speech-to-Text Benchmark
-
Making a Podcast Transcription Server with Express.js (source code in comments)
Even better than my experience, there's an open-source benchmark!
-
DeepSpeech 60x Smaller, 9x faster, and 2x accuracy
The Mozilla DeepSpeech tests on LibreSpeech listed in your link were out of date back in 2020[1], and Coqui.ai (the continuation of Mozilla DeepSpeech) isn't even benchmarked.
https://github.com/Picovoice/speech-to-text-benchmark/issues...
- I got banned for using some Chinese swear words to some Chinese player and i was insta Voice banned
vosk-build-model
What are some alternatives?
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, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Time-Series-Library - A Library for Advanced Deep Time Series Models.
STT-examples - 🐸STT integration examples
setting-up-sbrw - A *brief* guide on how to set up a Soapbox Race World (SBRW) server for NFS: World. Should include everything you'll need.
leopard - On-device speech-to-text engine powered by deep learning
zeroth - Kaldi-based Korean ASR (한국어 음성인식) open-source project