Python API for reading and querying ARPA formatted language models.
☆33Sep 9, 2014Updated 11 years ago
Alternatives and similar repositories for py-arpa-lm
Users that are interested in py-arpa-lm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Automatically exported from code.google.com/p/transducersaurus☆11Apr 1, 2015Updated 11 years ago
- In this repository, I try to combine k2 with speechbrain to decode well and fastly.☆16Jun 17, 2022Updated 4 years ago
- Losses and decoders for end-to-end ASR and OCR☆34Oct 30, 2020Updated 5 years ago
- Python library for n-gram models in ARPA format☆40Dec 8, 2022Updated 3 years ago
- Code for T5lephone: Bridging Speech and Text Self-supervised Models for Spoken Language Understanding via Phoneme level T5☆19Nov 29, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Use your data to create a speech recognition system in Kaldi. Fast.☆65Jan 2, 2020Updated 6 years ago
- HMM, CTC, RNN-Transducer, forward-backward algorithm☆20Sep 5, 2023Updated 2 years ago
- 🏃 hosting nlp models in one line☆20May 8, 2024Updated 2 years ago
- Kaldi style neural network training in pytorch for use in place of nnet3 in Kaldi.☆26Jul 25, 2024Updated 2 years ago
- Correspondence and autoencoder neural network training for speech using Pylearn2.☆14Dec 9, 2015Updated 10 years ago
- A library of speech gadgets.☆15Oct 15, 2022Updated 3 years ago
- ☆13Oct 27, 2021Updated 4 years ago
- python wrapper for kaldi's native I/O☆27Jan 9, 2025Updated last year
- PyTorch bindings for Warp-CTC☆42Dec 6, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- create CMakeLists.txt for kaldi