btarjan's Stars
jitsi/jiwer
Evaluate your speech-to-text system with similarity measures such as word error rate (WER)
ASR-project/Multilingual-PR
Phoneme Recognition using pre-trained models Wav2vec2, HuBERT and WavLM. Throughout this project, we compared specifically three different self-supervised models, Wav2vec (2019, 2020), HuBERT (2021) and WavLM (2022) pretrained on a corpus of English speech that we will use in various ways to perform phoneme recognition for different languages with a network trained with Connectionist Temporal Classification (CTC) algorithm.
jhasegaw/phonecodes
python code for converting among IPA, ARPABET, XSAMPA, Callhome, DISC, TIMIT, plus some lexical tones.
snakers4/silero-vad
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
doccano/doccano
Open source annotation tool for machine learning practitioners.
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
flashlight/wav2letter
Facebook AI Research's Automatic Speech Recognition Toolkit
coqui-ai/STT
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
attilanagy234/neural-punctuator
Complimentary code for our paper Automatic punctuation restoration with BERT models
revdotcom/fstalign
An efficient OpenFST-based tool for calculating WER and aligning two transcript sequences.
syhw/wer_are_we
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
kpot/keras-transformer
Keras library for building (Universal) Transformers, facilitating BERT and GPT models
CyberZHG/keras-transformer
Transformer implemented in Keras
eggie5/NCE-loss
Tensorflow NCE loss in Keras
sannykim/transformer
A collection of resources to study Transformers in depth.
thunlp/PLMpapers
Must-read Papers on pre-trained language models.
DavidWBressler/GCNN
Pytorch implementation of Dauphin et al. (2016) "Language Modeling with Gated Convolutional Networks"
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
CyberZHG/keras-adaptive-softmax
Adaptive embedding and softmax
minimaxir/textgenrnn
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
nytud/emtsv
e-magyar text processing system -- inter-module communication via tsv + REST API
HIT-SCIR/ELMoForManyLangs
Pre-trained ELMo Representations for Many Languages
philipperemy/keras-tcn
Keras Temporal Convolutional Network.
rsennrich/subword-nmt
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning