speech-to-text-benchmark
FedML
| speech-to-text-benchmark | FedML | |
|---|---|---|
| 5 | 6 | |
| 586 | 4,062 | |
| 0.9% | 0.8% | |
| 3.8 | 9.9 | |
| 4 months ago | about 21 hours ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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speech-to-text-benchmark
- Speech-to-Text Benchmark
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Making a Podcast Transcription Server with Express.js (source code in comments)
Even better than my experience, there's an open-source benchmark!
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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The Mozilla DeepSpeech tests on LibreSpeech listed in your link were out of date back in 2020[1], and Coqui.ai (the continuation of Mozilla DeepSpeech) isn't even benchmarked.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
FedML
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[Experiment] The future of AI is open-source, and here is the plan
FedML https://github.com/FedML-AI/FedML might already provide a lot of tools to do the job
- Awesome-Federated-Learning: A curated list of federated learning publications, re-organized from Arxiv (mostly).
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Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data
This is not new at all. There is a much stronger competitor existing in the market already: FedML (https://fedml.ai). They have a much larger open-source community, and a well-managed and widely-used MLOps (https://open.fedml.ai).
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FedML has just released its completely revamped and redesigned AI Platform and Website.
Website: https://fedml.ai Platform: https://open.fedml.ai/
- FedML AI platform releases the world’s federated learning open platform on the public cloud with an in-depth introduction of products and technologies!
- [Discussion] How feasible is it to partition a DNN model into pieces?
What are some alternatives?
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
federated-xgboost - Federated gradient boosted decision tree learning
speechbrain - A PyTorch-based Speech Toolkit
alpa - Training and serving large-scale neural networks with auto parallelization.
leopard - On-device speech-to-text engine powered by deep learning
experta - Expert Systems for Python
DeepSpeech-Italian-Model - Tooling for producing Italian model (public release available) for DeepSpeech and text corpus
HandyRL - HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
nerd-dictation - Simple, hackable offline speech to text - using the VOSK-API.
adaptdl - Resource-adaptive cluster scheduler for deep learning training.
ukrainian-onnx-model - An ONNX model for speech recognition of the Ukrainian language
MetisFL - The first open Federated Learning framework implemented in C++ and Python.