423 Repositories
Python seq2seq-speech Libraries
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.
Project DeepSpeech DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Spee
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
SpeechPy Official Project Documentation Table of Contents Documentation Which Python versions are supported Citation How to Install? Local Installatio
This library provides common speech features for ASR including MFCCs and filterbank energies.
python_speech_features This library provides common speech features for ASR including MFCCs and filterbank energies. If you are not sure what MFCCs ar
Data manipulation and transformation for audio signal processing, powered by PyTorch
torchaudio: an audio library for PyTorch The aim of torchaudio is to apply PyTorch to the audio domain. By supporting PyTorch, torchaudio follows the
Python library for handling audio datasets.
AUDIOMATE Audiomate is a library for easy access to audio datasets. It provides the datastructures for accessing/loading different datasets in a gener
AI grand challenge 2020 Repo (Speech Recognition Track)
KorBERT๋ฅผ ํ์ฉํ ํ๊ตญ์ด ํ ์คํธ ๊ธฐ๋ฐ ์ํ ์ํฉ์ธ์ง(2020 ์ธ๊ณต์ง๋ฅ ๊ทธ๋๋ ์ฑ๋ฆฐ์ง) ๋ณธ ํ๋ก์ ํธ๋ ETRI์์ ์ ๊ณต๋ ํ๊ตญ์ด korBERT ๋ชจ๋ธ์ ํ์ฉํ์ฌ ํญ๋ ฅ ๊ธฐ๋ฐ ํ๊ตญ์ด ํ ์คํธ๋ฅผ ๋ถ๋ฅํ๋ ๋ค์ํ ๋ถ๋ฅ ๋ชจ๋ธ๋ค์ ์ ๊ณตํฉ๋๋ค. ๋ณธ ๊ฐ๋ฐ์๋ค์ด ์ฐธ์ฌํ 2020 ์ธ๊ณต์ง
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
anaGo anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as nam
๐ Easy training and deployment of seq2seq models.
Headliner Headliner is a sequence modeling library that eases the training and in particular, the deployment of custom sequence models for both resear
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Kashgari Overview | Performance | Installation | Documentation | Contributing ๐ ๐ ๐ We released the 2.0.0 version with TF2 Support. ๐ ๐ ๐ If you
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Sockeye This package contains the Sockeye project, an open-source sequence-to-sequence framework for Neural Machine Translation based on Apache MXNet
DELTA is a deep learning based natural language and speech processing platform.
DELTA - A DEep learning Language Technology plAtform What is DELTA? DELTA is a deep learning based end-to-end natural language and speech processing p
NeMo: a toolkit for conversational AI
NVIDIA NeMo Introduction NeMo is a toolkit for creating Conversational AI applications. NeMo product page. Introductory video. The toolkit comes with
State of the Art Natural Language Processing
Spark NLP: State of the Art Natural Language Processing Spark NLP is a Natural Language Processing library built on top of Apache Spark ML. It provide
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
TextBlob: Simplified Text Processing Homepage: https://textblob.readthedocs.io/ TextBlob is a Python (2 and 3) library for processing textual data. It
NLP Core Library and Model Zoo based on PaddlePaddle 2.0
PaddleNLP 2.0ๆฅๆไธฐๅฏ็ๆจกๅๅบใ็ฎๆดๆ็จ็APIไธ้ซๆง่ฝ็ๅๅธๅผ่ฎญ็ป็่ฝๅ๏ผๆจๅจไธบ้ฃๆกจๅผๅ่ ๆๅๆๆฌๅปบๆจกๆ็๏ผๅนถๆไพๅบไบPaddlePaddle 2.0็NLP้ขๅๆไฝณๅฎ่ทตใ
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing pororo performs Natural Language Processing and Speech-related tasks. It is easy to
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
Trankit: A Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing Trankit is a light-weight Transformer-based Pyth
PIKA: a lightweight speech processing toolkit based on Pytorch and (Py)Kaldi
PIKA: a lightweight speech processing toolkit based on Pytorch and (Py)Kaldi PIKA is a lightweight speech processing toolkit based on Pytorch and (Py)
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech (BVAE-TTS)
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech (BVAE-TTS) Yoonhyung Lee, Joongbo Shin, Kyomin Jung Abstract: Although early
PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing
PhoNLP is a multi-task learning model for joint part-of-speech (POS) tagging, named entity recognition (NER) and dependency parsing. Experiments on Vietnamese benchmark datasets show that PhoNLP produces state-of-the-art results, outperforming a single-task learning approach that fine-tunes the pre-trained Vietnamese language model PhoBERT for each task independently.
Pseudo-Visual Speech Denoising
Pseudo-Visual Speech Denoising This code is for our paper titled: Visual Speech Enhancement Without A Real Visual Stream published at WACV 2021. Autho
PyTorch implementation of "A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
FullSubNet This Git repository for the official PyTorch implementation of "A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech E
PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
PyTorch implementation of Conformer: Convolution-augmented Transformer for Speech Recognition. Transformer models are good at capturing content-based