1.深度学习PyTorch入门-语音分类
https://blog.csdn.net/sinat_41787040/article/details/129795496
https://github.com/musikalkemist/pytorchforaudio
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://blog.csdn.net/weixin_45277161/article/details/135185613
https://blog.csdn.net/qq_33200967/article/details/119830756
https://github.com/yeyupiaoling/AudioClassification-Pytorch
3.基于深度学习的各种音频分类pytorch实战
https://blog.csdn.net/weixin_45717863/article/details/136237419
https://github.com/ethanyhzhang/AudioClassification-Pytorch
4.Urbansound8k声音分类深度学习实战
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
https://juejin.cn/post/7107844968957345805
6.音频识别(Audio Classification)学习笔记
https://blog.csdn.net/Killer_kali/article/details/122798462
7.基于Pytorch的声音事件检测分类系统
https://blog.csdn.net/weixin_43509698/article/details/145432599
https://github.com/Shybert-AI/AudioClassificationModelZoo-Pytorch
8.使用PyTorch进行城市声音分类
https://blog.csdn.net/gitblog_00081/article/details/139518564
https://github.com/ksanjeevan/crnn-audio-classification
9.torch入门：音频分类任务(pytorch+librosa)
https://blog.csdn.net/Ceverymxt7/article/details/146146361
10.PyTorch音频分类实战（完整代码）
https://blog.csdn.net/SoulmateY/article/details/143689699
https://blog.csdn.net/python1234_/article/details/145307536
https://zhuanlan.zhihu.com/p/6235637735
- Github：github.com/Zeyi-Lin/Py...
- 数据集：pan.baidu.com/s/14CTI_9MD... 提取码: 1a9e
- SwanLab实验日志：swanlab.cn/@ZeyiLin/Py...
- 更多实验日志：swanlab.cn/@ZeyiLin/Py...
Github：https://github.com/Zeyi-Lin/PyTorch-Audio-Classification
数据集：https://pan.baidu.com/s/14CTI_9MD1vXCqyVxmAbeMw?pwd=1a9e 提取码: 1a9e
SwanLab实验日志：https://swanlab.cn/@ZeyiLin/PyTorch_Audio_Classification-simple/charts
更多实验日志：https://swanlab.cn/@ZeyiLin/PyTorch_Audio_Classification/charts
11.使用深度学习进行音频分类的端到端示例和解释
https://blog.csdn.net/deephub/article/details/114997017
12.深度学习实现50种环境声音分类
https://blog.csdn.net/Mind_programmonkey/article/details/121024085
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融合进行鸟类声音识别
https://blog.csdn.net/weixin_34945060/article/details/143473683
https://github.com/CarrieX6/-Xeno-Canto-
融合了CBAM与DenseNet121，使用中心损失函数及鸟声融合特征进行数据预处理、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环境声分类研究的公共数据集， 包含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.使用BirdNET-V2.4训练自己的数据集
https://blog.csdn.net/weixin_53238517/article/details/144215320
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
https://zhuanlan.zhihu.com/p/701195734
使用ffmpeg提取视频中的音频并保存为单声道wav_ffmpeg wav-CSDN博客
https://zhuanlan.zhihu.com/p/452368276
birdData: 大批量，多线程下载鸟声文件
https://github.com/realzza/xenopy/tree/birdData