音频分类的学习

1.深度学习PyTorch入门-语音分类

https://github.com/musikalkemist/pytorchforaudio
https://github1s.com/musikalkemist/pytorchforaudio/blob/main/04%20Creating%20a%20custom%20dataset/urbansounddataset.py
https://github.com/musikalkemist/DeepLearningForAudioWithPython
https://github.com/musikalkemist/AudioSignalProcessingForML
https://github.com/musikalkemist/generating-sound-with-neural-networks
https://github.com/musikalkemist/Deep-Learning-Audio-Application-From-Design-to-Deployment
https://github.com/yaokaishile/AudioClassifier
GitHub - carl03q/AudioClassifier: A CNN audio classifier via spectrogram images.

2.基于Pytorch实现声音的分类


https://github.com/yeyupiaoling/AudioClassification-Pytorch
3.基于深度学习的各种音频分类pytorch实战

https://github.com/ethanyhzhang/AudioClassification-Pytorch
4.Urbansound8k声音分类深度学习实战
GitHub - musikalkemist/pytorchforaudio: Code for the "yTorch for Audio + Music Processing" series on The Sound of AI YouTube channel.
pytorchforaudio/09 Training urban sound classifier at main · musikalkemist/pytorchforaudio · GitHub
UrbanSound8K数据集
#wget命令下载
wget https://zenodo.org/record/1203745/files/UrbanSound8K.tar.gz

5.语音识别 - PyTorch实现

6.音频识别(Audio Classification)学习笔记

7.基于Pytorch的声音事件检测分类系统

https://github.com/Shybert-AI/AudioClassificationModelZoo-Pytorch
8.利用PyTorch举行城市声音分类

https://github.com/ksanjeevan/crnn-audio-classification
9.torch入门：音频分类任务(pytorch+librosa)

10.PyTorch音频分类实战（完备代码）

• Github：github.com/Zeyi-Lin/Py…
  
• 数据集： 提取码: 1a9e
  
• SwanLab实行日志：swanlab.cn/@ZeyiLin/Py…
  
• 更多实行日志：swanlab.cn/@ZeyiLin/Py…
  

Github：https://github.com/Zeyi-Lin/PyTorch-Audio-Classification
数据集： 提取码: 1a9e
SwanLab实行日志：https://swanlab.cn/@ZeyiLin/PyTorch_Audio_Classification-simple/charts
更多实行日志：https://swanlab.cn/@ZeyiLin/PyTorch_Audio_Classification/charts
11.利用深度学习举行音频分类的端到端示例和表明

12.深度学习实现50种情况声音分类

13.esc50
https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/esc50
https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/tutorial/cls/cls_tutorial.ipynb
14.CBAM与DenseNet121融合举行鸟类声音识别

https://github.com/CarrieX6/-Xeno-Canto-
融合了CBAM与DenseNet121，利用中央损失函数及鸟声融合特性举行数据预处理、鸟声识别等任务
15.基于梅尔频谱的信号分类和识别
https://github.com/Friedrich-M/Audio-signal-classification-and-identification
数据集Urbansound8K

• Urbansound8K是目前应用较为广泛的用于自动城市情况声分类研究的公共数据集， 包罗10个分类：空调声、汽车鸣笛声、儿童玩耍声、狗叫声、钻孔声、引擎空转声、枪声、手提钻、警笛声和街道音乐声。
  
• 数据集下载
  

16.利用BirdNET-V2.4练习自己的数据集

https://github.com/birdnet-team/BirdNET-Analyzer/tree/training-with-test-data
https://github.com/birdnet-team/BirdNET-Analyzer
https://github.com/joeweiss/birdnetlib

15.鸟音频数据文件下载资源
https://hf-mirror.com/datasets/sakei/Bird_audio_in_China
https://hf-mirror.com/datasets/Trelis/bird-songs
https://github.com/DBD-research-group/BirdSet
A benchmark dataset collection for bird sound classification
https://hf-mirror.com/datasets/DBD-research-group/BirdSet
从huggingface上下载数据集具体步骤_huggingface 下载数据集-CSDN博客
eg:
      git clone https://hf-mirror.com/datasets/DBD-research-group/BirdSet
      git clone https://hf-mirror.com/datasets/sakei/Bird_audio_in_China
      git clone https://hf-mirror.com/datasets/Trelis/bird-songs

利用ffmpeg提取视频中的音频并保存为单声道wav_ffmpeg wav-CSDN博客

birdData: 大批量，多线程下载鸟声文件
https://github.com/realzza/xenopy/tree/birdData
https://github.com/AgaMiko/xeno-canto-download
GitHub - AgaMiko/xeno-canto-download: Easy and ready-to-use script to download bird sound files and jsons from www.xeno-canto.org based on search terms.
鸟纲 Aves|iPlant 植物智——植物物种信息系统