qalabeabbas49

qalabeabbas49's Stars

• facebookresearch/denoiser

  Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

  Language:Python1.7k302

• NVIDIA/NeMo

  A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  Language:Python12.1k2.5k

• jim-schwoebel/voicebook

  🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).

  Language:Python37684

• DopplerHQ/awesome-bots

  The most awesome list about bots ⭐️🤖

  3.8k515

• maum-ai/voicefilter

  Unofficial PyTorch implementation of Google AI's VoiceFilter system

  Language:Python1.1k228

• seanwood/gcc-nmf

  Real-time GCC-NMF Blind Speech Separation and Enhancement

  Language:Python317134

• JusperLee/AFRCNN-For-Speech-Separation

  Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network

  Language:Python13634

• JusperLee/Conv-TasNet

  Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

  Language:Python43377

• JusperLee/Speech-Separation-Paper-Tutorial

  A must-read paper for speech separation based on neural networks

  756137

• juanmc2005/diart

  A python package to build AI-powered real-time audio applications

  Language:Python1.1k89

• BUTSpeechFIT/VBx

  Variational Bayes HMM over x-vectors diarization

  Language:Python25457

• team-re-verb/RE-VERB

  speaker diarization system using an LSTM

  Language:Python498

• apple/ml-no-token-left-behind

  Language:Jupyter Notebook13813

• dair-ai/ML-Notebooks

  :fire: Machine Learning Notebooks

  Language:Jupyter Notebook3.3k519

• remicnrd/ml_cheatsheet

  A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood

  1.4k219

• huggingface/course

  The Hugging Face course on Transformers

  Language:MDX2.3k744

• datawithdanny/sql-masterclass

  2.2k449

• PacktPublishing/Forecasting-Time-Series-Data-with-Facebook-Prophet

  Forecasting Time-Series Data with Facebook Prophet, published by Packt

  Language:Jupyter Notebook10077

• coqui-ai/TTS-papers

  🐸 collection of TTS papers

  63868

• mozilla/TTS

  :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

  Language:Jupyter Notebook9.4k1.3k

• aymonster/watermon-ml

  ML algorithm for leak and consumption detection

  Language:Python2

• aa-samad/water_leak_detection

  Language:CSS1

• neelabhpant/Deep-Learning-in-Python

  Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

  Language:Jupyter Notebook388255

• NirantK/awesome-project-ideas

  Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

  7.9k1.2k