vieenrose

vieenrose's Stars

• sanchit-gandhi/whisper-jax

  JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

  Language:Jupyter Notebook4.5k384

• databrickslabs/dolly

  Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

  Language:Python10.8k1.2k

• maxbbraun/whisper-edge

  OpenAI Whisper for edge devices

  Language:Python11721

• PaddlePaddle/PaddleSpeech

  Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

  Language:Python11.3k1.9k

• jessevig/bertviz

  BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

  Language:Python7k791

• howl-anderson/rasa_chinese

  rasa_chinese 专门针对中文语言的 rasa 组件扩展包，提供了许多针对中文语言的组件

  Language:Python14436

• gladiaio/gladia-cli

  Language:Go183

• 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

• snakers4/silero-vad

  Silero VAD: pre-trained enterprise-grade Voice Activity Detector

  Language:Python4.6k447

• SYSTRAN/faster-whisper

  Faster Whisper transcription with CTranslate2

  Language:Python13.2k1.1k

• ahmetoner/whisper-asr-webservice

  OpenAI Whisper ASR Webservice API

  Language:Python2.2k398

• modal-labs/modal-examples

  Examples of programs built using Modal

  Language:Python757183

• TaiwanAILabs-Yating/asr-sdk-python

  Language:Python5

• TaiwanAILabs-Yating/asr-samples-python

  Language:Python61

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python73.5k8.8k

• FamousDirector/FastWhisper

  This is an optimized implementation of OpenAI's Whisper for multilingual transcription.

  Language:Python389

• aadhithya/onnx-typecast

  Script to typecast ONNX model parameters from INT64 to INT32.

  Language:Python9820

• microsoft/onnxconverter-common

  Common utilities for ONNX converters

  Language:Python25465

• NVIDIA-AI-IOT/torch2trt

  An easy to use PyTorch to TensorRT converter

  Language:Python4.6k679

• ggerganov/whisper.cpp

  Port of OpenAI's Whisper model in C/C++

  Language:C++36.6k3.7k

• ProjectEGU/whisper-for-low-vram

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python304

• pytorch/audio

  Data manipulation and transformation for audio signal processing, powered by PyTorch

  Language:Python2.6k662

• huggingface/optimum

  🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

  Language:Python2.6k486

• kmaehashi/cupy-jetpack-wheels

  1

• oliverguhr/wav2vec2-live

  A live speech recognition using Facebooks wav2vec 2.0 model.

  Language:Python33356

• neuralmagic/deepsparse

  Sparsity-aware deep learning inference runtime for CPUs

  Language:Python3.1k176

• pytorch/android-demo-app

  PyTorch android examples of usage in applications

  Language:Java1.5k611

• jonatasgrosman/huggingsound

  HuggingSound: A toolkit for speech-related tasks based on Hugging Face's tools

  Language:Python43844

• shirayu/whispering

  Streaming transcriber with whisper

  Language:Python68653

• ahammedrohit/Speech-Recognition-using-wav2vec2-with-minimum-GPU

  Python Colab for speech recognition with wav2vec2. Since wav2vec2 requires heavy GPU I've come up with a way to run this on Google Colab as well as local machines with minimum GPU.

  Language:Jupyter Notebook2