speech-recognition
Here are 2,257 public repositories matching this topic...
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.
-
Updated
Jul 30, 2021 - C++
kaldi-asr/kaldi is the official location of the Kaldi project.
-
Updated
Aug 3, 2021 - Shell
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
-
Updated
May 21, 2021
Fedora & apt-get
Specs
- Leon version: latest
- OS (or browser) version: Fedora 30
- Node.js version: 10.16.3
- Complete "npm run check" output:
➡ Here is the diagnosis about your current setup
✔ Run
✔ Run modules
✔ Reply you by texting
❗ Amazon Polly text-to-speech
❗ Google Cloud text-to-speech
❗ Watson text-to-speech
❗ Offline text-to-speech
❗ Google Cloud speech-to-text
❗ Watson spee
-
Updated
Mar 26, 2021 - JavaScript
Facebook AI Research's Automatic Speech Recognition Toolkit
-
Updated
Aug 6, 2021 - C++
Speech recognition module for Python, supporting several engines and APIs, online and offline.
-
Updated
Jul 7, 2021 - Python
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
-
Updated
Aug 3, 2021 - Python
End-to-End Speech Processing Toolkit
-
Updated
Aug 6, 2021 - Python
NeMo: a toolkit for conversational AI
-
Updated
Aug 6, 2021 - Jupyter Notebook
PocketSphinx is a lightweight speech recognition engine, specifically tuned for handheld and mobile devices, though it works equally well on the desktop
-
Updated
Jul 19, 2021 - C
A PyTorch-based Speech Toolkit
-
Updated
Aug 6, 2021 - Python
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
-
Updated
Aug 5, 2021 - Python
Lingvo
-
Updated
Aug 4, 2021 - Python
-
Updated
Nov 20, 2018 - Python
One can use https://github.com/s-yata/marisa-trie to save a lot of space for symbols.
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
-
Updated
Mar 15, 2021 - Python
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
-
Updated
Aug 3, 2021
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
-
Updated
Jul 8, 2021
Machine Learning Resources, Practice and Research
-
Updated
Apr 11, 2021 - Python
-
Updated
Mar 3, 2020 - Python
Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.
-
Updated
Apr 5, 2020 - Python
Kalliope is a framework that will help you to create your own personal assistant.
-
Updated
Jun 11, 2021 - Python
DELTA is a deep learning based natural language and speech processing platform.
-
Updated
Apr 16, 2021 - Python
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
-
Updated
May 11, 2021 - Python
List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.
-
Updated
Jul 30, 2018
A PaddlePaddle Speech to Any toolkit.
-
Updated
Aug 6, 2021 - Jupyter Notebook
Open-Source Large Vocabulary Continuous Speech Recognition Engine
-
Updated
Jul 8, 2021 - C
一个非常方便的python录音程序,专门为MASR量身定做:
按回车开始录音,说完话后再按Enter结束录音并显示识别结果,录音文件会以识别的文本命名保存,方便后期统计识别率。
代码地址:
https://github.com/deepxuexi/ARFASR
如果觉得好用,给我点个star,谢谢!
Improve this page
Add a description, image, and links to the speech-recognition topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the speech-recognition topic, visit your repo's landing page and select "manage topics."


https://github.com/huggingface/transformers/blob/546dc24e0883e5e9f5eb06ec8060e3e6ccc5f6d7/src/transformers/models/gpt2/modeling_gpt2.py#L698
Assertions can't be relied upon for control flow because they can be disabled, as per the following: