Some very old scripts (about 4 years ago) written by myself to convert ARPA language model, HTK lattice, etc to weighted finite state transducers.
-
Updated
Dec 19, 2018 - Python
#
wfst
Here are 14 public repositories matching this topic...
A Julia recipe for training an ASR system using the TIDIGITS database
-
Updated
Jun 29, 2021 - Julia
Play with Weighted Finite State Transducers (WFST) in the Julia language.
-
Updated
Nov 2, 2022 - Julia
Post processing for speech recognition
-
Updated
Jan 27, 2021 - Python
Rust re-implementation of OpenFST - library for constructing, combining, optimizing, and searching weighted finite-state transducers (FSTs). A Python binding is also available.
rust
automata
graph
tokenizer
composition
rust-lang
speech-recognition
transducers
kaldi
transducer
asr
rust-crate
fst
openfst
shortest-path
finite-state-transducers
kaldi-asr
wfst
finite-state-acceptors
fsts
-
Updated
Aug 17, 2024 - Rust
Source code of the TinyOWS project. Please submit pull requests to the 'main' branch.
-
Updated
Jul 31, 2024 - C
an open-source implementation of sequence-to-sequence based speech processing engine
deployment
tensorflow
tts
speech-synthesis
transformer
speech-recognition
sequence-to-sequence
unsupervised-learning
speaker-recognition
asr
ctc
wfst
-
Updated
Dec 2, 2022 - C++
Improve this page
Add a description, image, and links to the wfst topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the wfst topic, visit your repo's landing page and select "manage topics."