本文展示了一个基于python搭建的音频事件检测应用的检测结果,并阐述了此应用的不足。 音频事件检测(Sound event detection) 音频事件检测(或声音事件检测)旨在检测一段音频中,目标音频事件的有无及其出现时间。 关于音频事件检测更多的信息,可见:dcase.community/ 检测结果(Detection demos) Demo1 知乎视频2.5 万播放 ...
Our sound event detector can detect human scream, gunshot, glass break, urban noise. Increase the security with detector device with user app.
A clip-level consistency branch is then added to the model architecture to increase the performance of the PSDS in scenario 2, which focuses on identifying different event classes. In addition, we use knowledge distillation with the mean teacher model to improve system performance. In this way,...
音频事件识别实例Demo 1: 纯音乐《赛马》中，16秒处的马嘶声被准确检测到，结果显示为“Neigh, whinny”、“Horse”和“Animal”。值得注意的是，因为音乐由古筝演奏，检测中也会出现“Zither”。Demo 2: 流行歌曲中，检测结果以“music”和“music instrument”为主，反映了伴奏的识别能力。Demo 3: ...
Files master annotations audio_wav checkpoint license_report lists prediction_outputs prediction_outputs_jsonl LICENSE README.md demo.png evaluate.py inference.py model.py vggish_rnn.py visualize.pyBreadcrumbs vtt-sound-event-detection / model.py Latest commit cao-nv...
The pipeline of the open set sound event detection model. Full size image In the self-supervised training stage, the raw audio sequences first transform into different audio sequences, but the intra meaning of audio is not modified. Some audio transformation techniques can be applied to increase...
Sound event dectect(SED):通过声音来判别事件的种类 SED与speech recognition相比难度更大,体现在这几个方面 1.事件的种类比音节的种类更多 2.事件与事件会互相重叠,这在语音识别的音节中不会发生 SED种类: 1.强标注(strong labeling):每个事件都标注有开始时间和结束时间 ...
**Sound Event Detection** (SED) is the task of recognizing the sound events and their respective temporal start and end time in a recording. Sound events in real life do not always occur in isolation, but tend to considerably overlap with each other. Recognizing such overlapping sound events...
This repository contains source code in Tensorflow of a simple sound event detection (multi-label classification) model using CNN+RNN.RequirementsPython 2.7Tensorflow 1.12Librosa 0.6Matplotlib 1.5.3sed_visdcase_utilsMethodData preparationAll the audio from the dataset will be extracted to WAV format at...
Sound Event Detection (SED) is the task of recognizing the sound events and their respective temporal start and end time in a recording. Sound events in real life do not always occur in isolation, but tend to considerably overlap with each other. Recognizing such overlapping sound events is ...