EmotionSense AI is a deep learning-powered Speech Emotion Recognition (SER) system capable of identifying human emotions directly from speech signals. The system combines advanced audio preprocessing ...

Neuroimaging presents us with an in-depth understanding about brain structure and function, yet the data complexity poses significant analytical challenges. Current frameworks suffer from issues such ...

Apple researchers have published a study that looks into how LLMs can analyze audio and motion data to get a better overview of the user’s activities. Here are the details. They’re good at it, but not ...

Text-to-video models (Runway, Sora, Veo 3, Pika, Luma) are trained on large datasets of video–text pairs, and data quality directly determines generation quality ("garbage in, garbage out").

Understanding today’s complex media consumer habits means that advertisers need more granular data to stay informed and reach the right audiences. The Record is a quarterly report card on how U.S.

Abstract: Power communication dispatch systems generate a large amount of textual data during daily operations. However, the quality of this data is often affected by issues such as missing values, ...

Abstract: Data preparation is essential for boosting machine learning model's performance by increasing data quality and lowering noise. This study evaluates the impact of preprocessing on key ...

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