PaddleSpeech/audio

PaddleAudio: The audio library for PaddlePaddle

Introduction

PaddleAudio is the audio toolkit to speed up your audio research and development loop in PaddlePaddle. It currently provides a collection of audio datasets, feature-extraction functions, audio transforms,state-of-the-art pre-trained models in sound tagging/classification and anomaly sound detection. More models and features are on the roadmap.

Features

• Spectrogram and related features are compatible with librosa.
• State-of-the-art models in sound tagging on Audioset, sound classification on esc50, and more to come.
• Ready-to-use audio embedding with a line of code, includes sound embedding and more on the roadmap.
• Data loading supports for common open source audio in multiple languages including English, Mandarin and so on.

Install

git clone https://github.com/PaddlePaddle/models
cd models/PaddleAudio
pip install .

Quick start

Audio loading and feature extraction

import paddleaudio as pa
s,r = pa.load(f)
mel_spect = pa.melspectrogram(s,sr=r)

Examples

We provide a set of examples to help you get started in using PaddleAudio quickly.

• PANNs: acoustic scene and events analysis using pre-trained models
• Environmental Sound classification on ESC-50 dataset
• Training a audio-tagging network on Audioset

Please refer to example directory for more details.