allosaurus
SpeechLoop
| allosaurus | SpeechLoop | |
|---|---|---|
| 2 | 6 | |
| 507 | 18 | |
| - | - | |
| 0.0 | 0.0 | |
| 9 days ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
allosaurus
-
Complete table of all IPA vowels' formant frequencies
Thank you for a great reply! If I catch your drift, how does this bode with phonemic transcription? Suppose we have an automatic phone recognizer tool such as Allosaurus.
-
Python and Speech recognition
And for phonemes recognition: - this looks like it could be useful (I'm sure you won't mind if it's "phones" instead of "phonemes"): https://github.com/xinjli/allosaurus - about using standard speech recognition tools: https://cmusphinx.github.io/wiki/phonemerecognition/
SpeechLoop
- Ask HN: Offline, Embeddable Speech Recognition?
-
Ask HN: Who Wants to Collaborate?
I created a toolkit to evaluate many different speech recognition engines.
https://github.com/robmsmt/SpeechLoop
Comparing speech systems can take a long time esp for a dev who doesn't have the background in audio/ml. How do you know which one will work best? Will new shiny transformer model perform well enough? Most end up using one of the big tech companies existing API to throw their data at. Whilst this is convenient, I think that it's a travesty that opensource speech systems have not are not as easy to use. I was hoping to change that to make it easy to evaluate and compare them!
-
Introducing Speechloop, answering the question, what is the best ASR for me?
Checkout: https://github.com/robmsmt/SpeechLoop looking for feedback on:
- Introducing Speechloop, answering the question, what is the best ASR?
- Introducing SpeechLoop
-
I made a Speech Recognition library designed to answer question, what is the best ASR?
I made this to make it easy[ish]).... check: https://github.com/robmsmt/SpeechLoop
What are some alternatives?
SpeechRecognition - Speech recognition module for Python, supporting several engines and APIs, online and offline.
pocketsphinx-python - Python interface to CMU Sphinxbase and Pocketsphinx libraries
common-voice - Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
megadetector-gui - A desktop application that makes using MegaDetector's model easier
edgedict - Working online speech recognition based on RNN Transducer. ( Trained model release available in release )
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
forced-alignment-tools - A collection of links and notes on forced alignment tools
vox - Vox language compiler. AOT / JIT / Linker. Zero dependencies
praat - Praat: Doing Phonetics By Computer
lingvo - Lingvo
Porcupine - On-device wake word detection powered by deep learning