This project uses audio signal processing and machine learning to recognize bee pollination behavior in pomelo orchards. We extract MFCC acoustic features, then use Random Forest and SVM to classify ...
A deep-learning project that classifies the emotion label associated with a short speech recording. It uses Mel-Frequency Cepstral Coefficients (MFCCs) as audio features and an LSTM neural network for ...
Jal Rakshak is Inspired by the urgent need for a proactive, localized defense network, Jal-Rakshak is an autonomous, ...
Plants are constantly talking to us through light. When chlorophyll absorbs sunlight to power photosynthesis, a small ...
Build custom CAD designs with natural language prompts by integrating ChatGPT 6 Astra and FreeCAD. Output precise Python code for 3D printing.
文章浏览阅读49次。语音唤醒（KWS）是智能设备低功耗监听的基石，它需要在连续音频流中精准识别特定唤醒词，同时兼顾极低的功耗与误唤醒率。传统级联方案流程繁琐且误差累积，而端到端模型通过单一神经网络直接完成关键词分类，大幅简化了训练与部署流程。WEKWS作为这一范式的代表性开源 ...
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