PaddleSpeech
flashlight
| PaddleSpeech | flashlight | |
|---|---|---|
| 6 | 16 | |
| 10,161 | 5,152 | |
| 2.0% | 0.5% | |
| 6.8 | 7.4 | |
| 17 days ago | about 1 month ago | |
| Python | C++ | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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PaddleSpeech
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Open Source Libraries
PaddlePaddle/PaddleSpeech
- I made Lisa-nee TTS (Imai Lisa)
- project
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is there addon that recognize speech (from video) into text?
I couldn't find any add-ons that did what you needed. I'm sorry. Maybe you could try using PaddleSpeech to see if it works for you, but it is not a Firefox add-on, it's a CLI tool.
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Mozilla Common Voice Adds 16 New Languages and 4,600 New Hours of Speech
Ah, damn. Didn't realise.
It also looks like Baidu are now developing their Deep Speech as open source? https://github.com/PaddlePaddle/DeepSpeech
- Server-Side Audio Transcription Software
flashlight
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MatX: Efficient C++17 GPU numerical computing library with Python-like syntax
I think a comparison to PyTorch, TensorFlow and/or JAX is more relevant than a comparison to CuPy/NumPy.
And then maybe also a comparison to Flashlight (https://github.com/flashlight/flashlight) or other C/C++ based ML/computing libraries?
Also, there is no mention of it, so I suppose this does not support automatic differentiation?
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Project Resources
This Facebook ai project seems reasonably structured after looking at its CMakeLists.txt. CMake is a build generator for c++, it's how you make binaries to run your project: https://github.com/flashlight/flashlight
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Meta AI Open Sources Flashlight: Fast and Flexible Machine Learning Toolkit in C++
Continue reading | Check out the paper and github link
- Flashlight: A C++ standalone library for machine learning
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[D] Deep Learning Framework for C++.
I built and maintain Flashlight, a C++-first library for ML/DL. We built Flashlight to be:
- [R] C++ for Machine Learning
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What is the most used library for AI in C++ ?
I’ve never used it, but Facebook’s flashlight looks interesting
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Python.
Flashlight bro, not flash. Read again
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Mozilla Common Voice Adds 16 New Languages and 4,600 New Hours of Speech
I've had good results with https://github.com/flashlight/flashlight/blob/master/flashli.... Seems to work well with spoken english in a variety of accents. Biggest limitation is that the architecture they have pretrained models for doesn't really work well with clips longer than ~15 seconds, so you have to segment your input files.
- [D] C++ in Machine Learning.
What are some alternatives?
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
TensorVox - Desktop application for neural speech synthesis written in C++
common-voice-android - Repository of "CV Project" app. It's an unofficial app for Mozilla Common Voice, which permits you to contribute to this project via your device.
DNS-Challenge - This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
oneflow - OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.