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amphion

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

audio-spectrum-analyzer-in-python

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

audioldm

AudioLDM: Generate speech, sound effects, music and beyond, with text.

audioldm2

Text-to-Audio/Music Generation

audioldm_eval

This toolbox aims to unify audio generation model evaluation for easier comparison.

audioset_tagging_cnn

clap-laion-ai

Contrastive Language-Audio Pretraining

clap-ms

Learning audio concepts from natural language supervision

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

download_audioset

📁 This repo makes it easy to download the raw audio files from AudioSet (32.45 GB, 632 classes).

epic-kitchens-download-scripts

Download scripts for EPIC-KITCHENS

epic-sounds-annotations

Splits for epic-sounds dataset

fly_us

美国大学备考资料

fuzi.mingcha

夫子•明察司法大模型是由山东大学、浪潮云、**政法大学联合研发，以 ChatGLM 为大模型底座，基于海量中文无监督司法语料与有监督司法微调数据训练的中文司法大模型。该模型支持法条检索、案例分析、三段论推理判决以及司法对话等功能，旨在为用户提供全方位、高精准的法律咨询与解答服务。

ignite

High-level library to help with training neural networks in PyTorch

lawgpt

🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. 基于中文法律知识的大语言模型

linly

Chinese-LLaMA 1&2、Chinese-Falcon 基础模型；ChatFlow中文对话模型；中文OpenLLaMA模型；NLP预训练/指令微调数据集

ltu

Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".

models

Models and examples built with TensorFlow

musegan

An AI for Music Generation

musicinformationretrieval.com

Instructional notebooks on music information retrieval.

nn-gev

Neural network supported GEV beamformer

onnx

Open standard for machine learning interoperability

openl3

OpenL3: Open-source deep audio and image embeddings

p.808

This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and

py-webrtcvad

Python interface to the WebRTC Voice Activity Detector

python_speech_features

This library provides common speech features for ASR including MFCCs and filterbank energies.

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

rnnoise

Recurrent neural network for audio noise reduction

source-separation-wavenet

A neural network for end-to-end music source separation